Data Analysis Resume Samples

4.5 (104 votes) for Data Analysis Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the data analysis job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Resume Builder
CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Create a Resume in Minutes
VM
V Mertz
Vena
Mertz
6016 Dicki Gardens
Chicago
IL
+1 (555) 585 3593
6016 Dicki Gardens
Chicago
IL
Phone
p +1 (555) 585 3593
Experience Experience
San Francisco, CA
Data Analysis Intern
San Francisco, CA
Monahan LLC
San Francisco, CA
Data Analysis Intern
  • Analyzing existing data records for quality and perform corrections
  • Populate missing attributes for the materials masters as directed
  • Mine critical material master data fields, including global material classification characteristic data, according to data standards and based on the review of engineering and purchasing specifications and drawings
  • The internship will focus on data analysis
  • Data will include sales quote information
  • The successful intern candidate will have a major course of study within either accounting or finance
  • Support data collection, validation, cleansing and analytics activities and provide recommendations for data quality improvements
Los Angeles, CA
Manager, Data Analysis
Los Angeles, CA
Schiller-Legros
Los Angeles, CA
Manager, Data Analysis
  • Manages the work of outside expertise engaged to assist or deliver analytic projects
  • Manages development of analytical tools and numerical modeling of complex operations systems and processes. Develops KPI dashboards
  • Determines strategic goals for group/department and develops action plans to achieve strategic goals plus objectives set by upper management
  • Provides leadership to staff inclusive of the management life cycle
  • Work independently to perform data analysis and data extraction of system-wide data
  • Develops diagnostics to identify and optimize business performance against objectives
  • Work closely with Developers, Product, internal Business, and Infrastructure teams
present
Phoenix, AZ
VP / Group Director, Data & Analysis
Phoenix, AZ
Kihn, Friesen and Will
present
Phoenix, AZ
VP / Group Director, Data & Analysis
present
  • Defining the scope and approach of strategic client projects and directing ongoing client relationships to exceed expectations and strengthen the relationship
  • Developing the framework for all aspects of digital marketing, incorporating a variety of strategies
  • Develop framework for all aspects of digital Marketing, including variety of strategies
  • Provide methodological support, coaching, training and advice to S&A staff on multiple client and internal assignments
  • Data Strategy – Design and execute approach to ingesting and activating the right data for various media and creative executions across all channels
  • In-depth knowledge of multiple industries including telecommunications, retail, CPG, financial, and retail
  • Analytics – measure ROI of investment in data and demonstrate ongoing performance and cost savings
Education Education
Bachelor’s Degree in Data Related Field
Bachelor’s Degree in Data Related Field
Rowan University
Bachelor’s Degree in Data Related Field
Skills Skills
  • Ability to effectively manage and lead a team of technical reporting staff
  • Highly organized with ability to work under pressure and availability to meet deadlines as necessary
  • The ability and interest in exploring questions about human behavior and how a “system” influences that behavior
  • The ability to craft an analytical approach to answer unique questions for which there has never been a defined analytical process
  • Excellent interpersonal, leadership, presentation, and collaborative skills to work effectively with teams throughout organization
  • Excellent math and logical skills. Ability to identify trends, analyze data, and extract actionable insights
  • Demonstrates the ability to conduct qualitative and quantitative research and to analyze data in order to produce publications
  • Possesses strong oral and written communication and interpersonal skills
  • Ability to effectively organize and manage multiple assignments with challenging timelines while maintaining high standards
  • Good understanding of experiment design: Control vs variations, factorial experiment design, multivariate experiments, simple random sampling vs stratified, etc
Create a Resume in Minutes

15 Data Analysis resume templates

1

Data Analysis Senior Associate Resume Examples & Samples

  • Own CCB Data Management Process for all AML data elements
  • Act as Data Steward for any data elements that cross all CCB LOBs. As Data Steward, this position will establish quality metadata and ensure data quality for critical data elements
  • Develop deep expertise of CCB business processes, requirements, data, and technology
  • Use database query tools to source data from corporate data warehouses (ICDW/EDW) and other secondary data sources
  • Provide cross-LOB oversight on Enterprise Release projects to develop new controls in existing front-end systems to mitigate data integrity issues
  • Identify process and functionality implementation options to address strategic and tactical business needs, communicate benefits and risks of each option, and recommend business priorities
  • Coordinate data remediation efforts across CCB LOBs; this will often require querying existing data sources to size necessary remediation
  • Identify and communicate risks / issues including potential scope creep. Identify risk mitigation options and alternatives
  • Qualifications
  • 7 years experience business/systems analysis and/or data mining experience
  • Independent thinking with the ability to self-direct
  • MS Office suite experience (Excel, Word, PowerPoint, Project)
  • Bachelor's degree in a technical or analytical field
  • Previous CCB experience preferred
  • Previous AML or Compliance experience is a plus
  • Proven experience working on complex systems analysis efforts and developing partnerships with business, technical and vendor teams
  • Excellent analytical, oral and written communication skills
  • Ability to facilitate meetings among stakeholders with diverse and sometimes conflicting points of view
  • Self motivated team player. Must possess the ability to research and resolve issues independently while working across teams to acquire needed information
  • Ability to organize/manage multiple priorities and projects coupled with the flexibility to adapt to changes in a fast-paced environment
2

Business Data Analysis & Integrations Analyst Resume Examples & Samples

  • Drive development of qualitative and quantitative data layers to be leveraged in strategic analytics with the goal of driving increased operational efficiency and business process improvement opportunities
  • Conduct data sourcing, data quality assessments, and data reconciliations
  • Integration of data sources and the development of data routines to create information from raw data sources
  • Drive the development of data solutions
  • Assist with the development of standardize reporting solutions that align metrics and drivers with the associated financials outcomes
  • Manage and develop processes around collection of qualitative data
  • Drive application design documentation
  • Create Strategic Management Dashboards and Analytics
  • BA/BS degree (Masters preferred) in Management Information Systems, Finance, or quantitative discipline plus 5-10 years in relevant data mining / business intelligence experience
  • Must have intellectual curiosity and a willingness to delve in to a problem and understand the root cause
  • Data mining and data transformation skills
  • Database skills
  • SAS or SQL skills preferred
  • Knowledge of Data Warehousing preferred
  • Knowledge of Cognos BI and Cognos TM1 preferred
3

Data Analysis Lead-dfast Resume Examples & Samples

  • Strong Excel financial modelling skills - with experience developing and improving dynamic forecast / multi-scenario models
  • Highly numerate / statistical knowledge - able to work with numbers and make error free calculations
  • Stakeholder management - interface with various departments effectively to ensure all relevant business inputs are considered and forecast results are communicated
  • Credit Risk / Finance analytical experience on consumer retail portfolios
  • Understanding of Regulatory requirements for Capital Demand under Basel rules
  • Experience of working with Advanced modelling data
  • Understanding of credit losses and/or impairment
  • Ability to produce accurate results under pressured timelines
  • Degree in highly numerate discipline
  • Strong SAS Enterprise Guide / SQL skills - with ability to manipulate large data sets, automate monthly processes and debug code with minimal steer
  • Forecasting software experience is a plus
  • 5+ years of Risk Management, Accounting, Forecasting and Analytic Experience in banking, preferably credit cards
  • Bachelors Degree required. Masters Degree preferred
4

Data Analysis & Visualization Lead Resume Examples & Samples

  • Successful delivery of BI information to the entire organization and is experienced in BI development and implementations, data architecture and data warehousing
  • Designing and implementing of a Qlikview based reporting as a shared service
  • Defining reporting approaches, best practices, system design, tuning, and performance
  • Data cube loading, security, retrievability, and maintenance
  • Serve as a Subject Matter Expert (SME) for reporting
  • 5+ years experience in BI Reporting and Dashboard development using one or more of the following tools
5

Manager CRA Data & Analysis Resume Examples & Samples

  • Community Development is charged with executing and monitoring the HBUS compliance program for the Community Reinvestment Act. It comprises several groups including Regulatory Reporting Community Development Production and CRA outreach and incorporates finance, operations and credit support. The group monitors CRA-eligible activity in a range of other business units as well as generates loans and equity and manages a portfolio. The group manages CRA initiatives for HBUS, a 250 branch US$150 bn large retail bank with branches in eleven states. Overall the group takes the lead in identifying credit needs in low to moderate income areas within the Bank’s footprint and demonstrates responsiveness to community needs
  • The business generally makes loans and investments to Community Development Financial Institutions (CDFIs) and Community Development Corporations (CDCs) and national intermediaries that meet CRA requirements through affordable housing development, economic development and other activities and services targeted to low to moderate income individuals or communities. This activity is crucial to the Company to comply with CRA provisions and maintain an outstanding rating in community development activities in geographies serviced by the Company
  • Self-starter comfortable with both working independently and in collaboration with others toward shared goals and objectives
  • Advanced analytical skills and ability to apply and explain complex concepts-Strong planning, organizational, and time management skills; adeptness at managing multiple projects involving multiple stakeholders
  • Ability to engage and collaborate with internal and external stakeholders to communicate issues, leverage insights and share expertise to influence CRA decisions
  • Expert or near expert proficiency with CRA Wiz specific to CRA analysis and reporting
  • High proficiency in Microsoft Excel, Word, and PowerPoint
  • High proficiency with Microsoft Access and the ability to write databases
  • Familiarity with VBA
  • Proficiency with Project Management
  • Familiarity with systems and technology needs associated with CRA
  • Extensive technical knowledge of and experience with the CRA
  • Knowledge of consumer protection laws and regulations, lending practices, and community and economic development issues
  • Ten or more years of experience in managing CRA processes
6

Business Intelligence Data Analysis Resume Examples & Samples

  • College degree in Marketing/Business/Technical
  • Highly knowledgeable of product/solution family and the business needs of the target customers
  • 7 years experience in product marketing fundamentals
  • Demonstrated knowledge of general marketing function either through education or work experience
7

Data Analysis Resume Examples & Samples

  • Two + yrs. of consultative skills which include ability to assess and understand client processes, elicit client understanding, and insight to advise and make recommendations
  • Bachelor’s degree in Applicable field
  • Prior experience in data analysis and quantifiable business methods
  • Prior experience with data extraction or coordination of data extraction
  • Effective ability to evaluate existing work processes in order to predict, address and resolve efficiency and accuracy constraints
  • Excellent communication skills (both oral and written), and documentation skills
  • Self-starter; ability to work independently
  • CPA, MBA or applicable post-graduate study
  • Two + yrs. of Health Insurance experience
  • Experienced and Knowledgeable with Coordination of Benefits and related topics (i.e. Hospice, ESRD, etc.)
  • Experienced and Knowledgeable with Subrogation and Other Third Party Liability and related topics (i.e. Hospice, ESRD, etc.)
  • Healthcare finance or healthcare related consulting preferred
  • Project management & process mapping experience
8

Data Analysis Engineering Intern Snei Sf Resume Examples & Samples

  • Analyze real-time traffic
  • Build statistic based on this traffic
  • Find Correlation between events
  • Build Dashboard in Javascript to display events correlation
  • Some knowledge of Java/Spark
  • Ability to do data analysis on high volume of real-time traffic
  • Basic Javascript knowledge
9

Associate Data Analysis, Seasonal Resume Examples & Samples

  • Perform various basic operations with different systems such as : NM1, EOM, Bellnet, BCRIS, PVC OARS, Telework inventory, MTW, etc
  • Manage Ms Excel spreadsheets
  • Validation of users on different systems
  • Correlation of information between information from different systems
  • Send emails to users for validation of used
  • Creation of TSC project in MTW
  • Creation of Excel spreadsheet for India agents to be able to create their orders
  • Follow-up with Indian agents
  • Validation in systems to ensure the billing is up to date
  • Working knowledge of Windows environment
  • Ms Word basic level
  • Ms Excel basic level
  • Patience,, persevering and autonomy
  • Bilingualism, French and English, fluent in both languages with no significant limitation
10

Data Analysis & Segmentation Manager, APJ Resume Examples & Samples

  • Lead the data segmentation and analysis for the APJ team
  • Interpret the results of these segmentation and analysis initiatives to provide data-driven insights to help the regional team plan better campaigns
  • Provide segmentation guidelines to the country teams for their go-to-market strategy
  • Identify potential areas of optimization, identify relevant data sources for analysis and run the analysis to provide the root cause for the issues faced
  • Work with the reporting team to define and develop dashboards and reports to monitor the performance of each segment
  • Possess experience in Database Marketing
  • Technically savvy with very good MS Excel/MySQL/Ms Access and data handling and processing skills. He / she will be expected to come up with dashboards and analytics on a regular basis
  • Experienced in identifying business issues which can be optimized to improve overall performance of the marketing funnel and adept at being able to analyse the data to provide reasons for those business issues
  • Ability to apply creative thinking and sound reasoning, and to communicate effectively
  • Must be able to demonstrate resourcefulness, motivation, initiative
  • A good team player
11

Senior Data Analysis Associate Resume Examples & Samples

  • A minimum of 3 years of Prudential business unit, compliance or investigative experience
  • Strong communication skills, both written and verbal
  • Ability to think independently
  • Ability to work with limited supervision and manage multiple projects and deadlines
  • Able to operate standard Microsoft Office software applications, including Windows, Word and Excel
  • Working knowledge of Prudential internal computer applications is required
12

Associate Manager, Risk Data Analysis Resume Examples & Samples

  • Bachelors degree in Mathematics, Statistics, or Engineering
  • Ability to think critically and logically
  • Excellent oral and written communication skills; clear and effective writing style
  • Strong organizational skills including the ability to work on multiple projects simultaneously and bring them to timely resolution
  • Highly motivated, energetic and positive individual
  • Demonstrates initiative, curiosity and an eagerness to learn
  • Strong team player; ability to partner across the organization and achieve results working through others
  • Proficiency with Microsoft Office applications (particularly Excel)
13

Data Analysis Lead-technology Change Management Resume Examples & Samples

  • Develop in depth expertise and document current vendor reference data reporting needs, current reporting processes and source systems, and information issues/gaps
  • Execute on a future state technology roadmap, governance and operating model which would close current information / reporting gaps at operational and executive levels within GSS and across LOBs; execute multiple initiatives simultaneously
  • Drive technology change management by defining detailed business and reporting requirements, conducting testing and implementation of new or enhanced technology solutions
  • Engage relevant Technology, GSS and LOB stakeholders, and incorporate their feedback throughout the implementation process
  • Partner with GSS Chief Data Officer, GSS, Technology and LOB stakeholders on program execution
14

Senior Manager, Data Analysis Resume Examples & Samples

  • Analyze transactional data and utilize analytical tools/reports to identify causes for conversion rate variance resulting from business changes or data anomalies, such as, marketing campaign breakdowns or data transfer issues across systems
  • Lead investigations of data anomalies to trace back to root cause. Work with cross functional teams to implement corrective actions. Follow and enhance procedural roadmap to ensure that all steps in the marketing communication and trial setup and offer presentation process are being followed per specified instructions
  • Enhance existing analytical tools and create new ones to pro-actively identify potential red flags in transactional data that may impact conversion rate
  • Develop strong understanding of SXM transactional, marketing and operational databases and be an expert in identifying best data sources for investigations
  • Identify and prioritize Marketing Analytics team’s key subscriber data needs. Solicit input from all team members on challenges and pain points that would warrant creation of new IT-generated data tables/views or enhancement of existing data tables/views
  • Work with IT to generate Business Requirements Documents (BRDs) and Functional Requirements Documents (FRDs), supporting development of new data sources and enhancement of existing data sources
  • Be the liaison with IT to automate routine reporting generated by the Marketing Analytics team
  • Represent Marketing Analytics team on various IT projects (Master Data Management (MDM), redefinition of Marketability, etc.), providing analytical support as needed
  • Conduct ad hoc analyses as assigned
  • BS/BA in Business Administration or related field; or equivalent experience
  • MBA preferred
  • 5+ years of experience in any of the following: data quality, data analysis, operations or supply chain analysis, forensic accounting / investigations, risk analysis, internal control analysis, operations consulting, management consulting
  • Experience working with large datasets
  • Ability to construct and communicate big picture story from detailed data investigations
  • Ability to pay attention to details and be structured thinker
  • Influencing skills - ability to interact and work with staff at all levels and across departments
  • Ability to handle multiple tasks in a fast paced environment
  • Willingness to take initiative and to follow through on projects
  • Knowledge of SQL and Microsoft Office
15

Associate Data Analysis Resume Examples & Samples

  • With minimal guidance, gather and analyze information from various sources to ensure its integrity, and resolve any anomalies
  • Offer support to users and identify, analyze and resolve any issues they may encounter
  • Create and modify reports/queries based on internal customer requirements
  • Help design, monitor and interpret key performance indicators and analytical models in an effort to make Field Services more efficient and productive
  • Assist with certain quantitative statistical analysis in order to identify opportunities to improve operating processes
  • Help identify business risks and recommend improvements in order to achieve optimal results while ensuring accuracy and adhering to tight deadlines, thereby minimizing risks for the target business unit
  • Work closely with the manager business analyst in charge of the team, and with all managers within our organization and Field Services
  • Help analyze results and investigate the likely causes behind result fluctuations, and identify potential solutions to the issues identified
  • Communicate verbally or in writing with Field Services technicians and managers, as well as with any other parties involved
  • Provide training to stakeholders on the different operating processes
  • Excellent knowledge of Excel; Advanced level / Competency will be validated with a test
  • Solid knowledge of other MS Office Suite software (Word, PowerPoint); Intermediate level
  • Knowledge of VBA, SAS (Statistical Analysis System) and SQL (data manipulation language)
  • Strong communication skills (spoken and written) conducive to addressing an audience of managers
  • Ability to manage deadlines and ensure effective project follow-up
  • Flexibility to complete other tasks when required
  • French: An asset
16

Senior Specialist Data Analysis Resume Examples & Samples

  • Actively identify activities causing potential loss, develop and maintain appropriate tracking methods and establish new methodology to analyse data and actively reduce loss
  • Working with multiple systems, develop and maintain standard reports for analytical scrutiny on a daily, weekly, monthly and quarterly basis
  • Work with cross functional departments including, but not limited to, Store Operations, Legal and Compliance, Profit Protection, Work Council, E-Com, and Human Resource making recommendations for improved procedures in order to reduce risk
  • Support investigators in conducting investigations by collecting and preparing evidence
  • Create presentations and report findings to Profit Protection Managers and Senior Managers across the globe
  • Good written and verbal communication skills and the ability to read, write and speak English. Additional language helpful
  • Strong mathematical skills with an understanding of statistical analysis
  • Good analysis and problem-solving skills
  • Ability to use analysis tools and software to find patterns, anomalies, relationships and trends within the data
  • Adept at using various software, with a basic understanding of manipulating software to produce best results, reports, dashboards, and presentations
  • Basic level of I.T. knowledge to be able to act as Administrator for software tools used and have discussion with I.T. Support Teams
  • Team player - ability to work within a close team while also being able to work independently
  • Minimum 2 years‘ working experience
17

Data Analysis Senior Resume Examples & Samples

  • A bachelor's degree and approximately 2 years of related work experience or a graduate degree and approximately 1-2 years of related work experience
  • Must be able to obtain and maintain secret clearance or higher
  • Intermediate level Excel
  • US Certification in at least one of the following prefered: CAPM (Certified Associate in Project Management), PMP (Project Management Professional), Lean Six Sigma
18

Visualization & Data Analysis Engineer Resume Examples & Samples

  • 10-15 years of related systems engineering experience
  • MSCE or MCITP
  • Microsoft Active Directory 2003/2008
  • Windows XP Professional/Vista/Windows 7
  • TCP/IP, DNS, Local Area Networking
  • Printer, Fax, and Scanner setup and troubleshooting
  • Experience working in a Citrix XenDesktop or VMWare View environment
  • VMware ESX 3.5/4.0/5.0 or other Hyper Visor experience
  • Thin Client using Virtual Desktop Interface Technology
  • Experience with AppSense Product Suite
  • Security+ or CISSP
  • Experience supporting Intelligence and/or DoD Customers
  • Unix/Linux system admin GDIT Req Number 242026
19

Manager, Data Analysis Resume Examples & Samples

  • Provide expertise in navigating the data environments in Charter and recommend and provide value-added data analysis solutions to various internal audit teams
  • Technical experience writing SQL or ACL code for audit, regulatory compliance, or risk management reporting with the ability to utilize data analysis methodologies and tools to increase the efficiency and effectiveness of the internal audit process
  • Identify opportunities to utilize data analysis in the assessment of risk and controls
  • Navigate technology environments to locate, validate, extract, and format data for testing
  • Effectively document data analysis activities in accordance with internal audit policy
  • Define data requirements for relevant Internal Audit projects and document data mapping requirements
  • Manage projects in a complex and changing environment on different platforms and technologies
  • Proven experience in problem solving, attention to detail and root cause analysis in a technical environment
  • Ability to communicate in a professional, accurate and clear manner to a variety of internal and external contacts (technical, non-technical, peers, management)
  • Proficiency with ACL and SQL
  • Proficiency with presentation tools (e.g., SQL Server Management Studio, TOAD, IDEA, Tableau, etc.)
  • Ability to manage projects/initiatives with high risk and complexity
  • 6-8 years with some combination of ACL, MS SQL, SAS, Cognos, or other data analysis experience
  • Licensed CPA, CIA, CFE, CISA, or ACDA a plus
  • Prior cable or telecommunications experience a plus
  • Internal controls and/or financial accounting/auditing experience a plus
20

Data Analysis & Initiatives Resume Examples & Samples

  • Design and development of MIS / Business reporting, Data Standardization Processes across products, portfolios and systems through a consistent ‘common framework’ that will enable the business leadership to drive revenue growth
  • Design and deliver approach and functional specifications of business requests
  • Own the development of data dictionaries for domain area with established framework
  • Project Management: On-time delivery and quick TAT, multi-task and manage multiple projects independently and helps junior analysts deliver, provide technical / non –technical guidance as required
  • Develop automation solutions to validate the data integrity of deliverables and ensure quality of deliverables
  • Perform end-to-end automation of the production of new regional business or develop self-service solutions using BI platforms. Set-up best in class in-house support
  • Communication: Effectively communicate strategic considerations with team, risk and challenges to partners and senior management
  • Relationship Management: Interact regularly with multiple local and regional stakeholders and manage expectations aligned to group capabilities and work to deepen existing relationships
  • Analytical skills to assess data for any exceptions, highlight and presentation of results to senior management
  • Share best practices across Decision Management groups and implement best practices, drive data and analytics solutions
  • Engineering, Computer science degree
  • Post-graduation: MTECH / MBA / MS / MCA from a reputed institute will be a plus
  • Technical experience and understanding of databases, underlying technologies is must have requirement for this role
21

Manager, Data Analysis Resume Examples & Samples

  • 10+ years of experience required
  • Desired experience in: Data Analysis, Data Governance, Business Intelligence, Process Improvement
  • 0-10%
  • Lean Six Sigma Certification strongly preferred
  • Supervisory/Management experience strongly preferred
22

Manager of Data Analysis Resume Examples & Samples

  • Implement and support software applications used by the regional to collect and manage data, including the vendor-managed data warehouse
  • Develop and execute professional development to ensure teachers are able to utilize software applications to complete corresponding tasks
  • Bachelor’s degree in a mathematics or economics or related fields plus 2-3 years
  • Demonstrable experience
  • Expertise in Excel, Word, and PowerPoint (especially macros, building models)
  • Data visualization, preferably using Tableau ideal
  • Statistical analysis using open source languages like R or Python preferred
  • Working with large spreadsheets and data warehouses, preferably using SQL
  • Familiarity with scripting languages and APIs is a plus but not required
23

Director of Data Analysis, DCP Resume Examples & Samples

  • Direct the evaluation of existing reporting methods; identify and implement improvements; anticipate and develop new reporting methods as required
  • Lead the mapping of the procurement life cycle, evaluate problem areas, and make recommendations for improvement to increase efficiency and accountability
  • Prepare comprehensive reports on study findings and make recommendations to executive management for new and/or revised policies and procedures
  • Create spending reports at the request of various program offices and high-level DOE officials. Ensure data integrity in reporting
  • Become proficient in various systems, including Contract Tracking System (CTS), Contract Processing System (CPS) and Access. Use Excel or other suitable programs for tracking and reporting on contracts related to Universal Pre-Kindergarten - UPK for All
  • Answer Comptroller questions on spending and manage all audit requests that come through the office
  • Oversee projects timelines and staff performance. Prepare overall work schedules and coordinate workflow
  • Improve on systems used to track the need to conduct new procurements as contracts expire and to track progress with procurements currently underway
  • Develop methods for accounting for procurement savings in a comprehensive regular report
  • Direct DCP liaison activities with Division of Financial Systems and Business Operations (FSBO) to implement new systems, and coordinate with DECE, particularly the technology group, to incorporate data for DCP use
  • Give the City Council notice of cost increases for construction and/or services contracts in connection with a project included in the capital budget consistent with Administrative Code § 6-133
  • Prepare report for the City Council and post on its website a report detailing its procurement of preferred source products consistent with Administrative Code § 6-136
  • Provide information to MOCS for their annual procurement indicators report
  • Make publicly available information on contracts to the same degree as provided by mayoral agencies, consistent with Charter §334 and Administrative Code § 6-131
  • Supervise work of subordinate for effectiveness, efficiency and compliance with established rules and guidelines
  • A baccalaureate degree from an accredited college and four (4) years of satisfactory full-time professional experience as described in "1" above, including the 18 months of executive, managerial, administrative or supervisory experience described in "1" above
24

Data Analysis Senior Associate Resume Examples & Samples

  • Create and maintain broad HR project/program data analysis and reports. May create project / reporting plans and timelines, to manage project/reporting components and deliverables
  • Measure department/project/program operations against established procedures, and discuss findings with department teams to identify improvements
  • Provide operational reporting and analysis. Reports include key statistics such as: measurement results for accuracy and timeliness; analysis of survey results; and analysis of project progress against goals and objectives. Analyze workflow of operations, including protocols, and hand-off and communication points within a process. Recommend improvements
  • Provide data analysis and reporting broadly across the talent team, including support for HR, recruiting, experience management, learning, and mobility among others
  • Respond to the needs of managers, sponsors and stakeholders, escalating issues to your manager/supervisor/sponsor as appropriate. Identify alternative approaches
  • Support changes in technologies, including deployment support, and interacting with various IT groups to resolve issues
  • Manage low-impact projects, creating and implementing timelines for project deliverables. Assign and follow-up on tasks, and manage sponsor/customer expectations
  • Understand the firm's business, organizational structure and operations
  • Apply process and technology enablement knowledge to analyses and (moderately complex) problem-solving
  • Use sound judgment and consistency in measuring results, providing trend analysis and alternative data-driven perspectives
  • A minimum of 2-4 years related job experience
  • Ability to work effectively in and lead small teams
  • Competent at managing and meeting deadlines
  • English language skills - excellent written and verbal communication
  • Strong analytical skills, to grasp complexities and perceive relationships among problems and issues
  • Proficient in Microsoft Office suite (Word, Excel, PowerPoint) and Visio
  • Intermediate / Advanced Excel skills preferred
  • Experience with Tableau & Spotfire a plus
  • Ability to influence others, to gain support and commitment for shared projects
25

Senior Master Materials Data Analysis Resume Examples & Samples

  • Experience in monitoring & report data trends
  • Strong analytics experience is required
  • Experience with Lean and ACE / Continuous Improvement
  • Experience with internal / external Supplier and Customer interaction a plus
  • Ability to work well in a team culture
  • SAP materials system experience is mandatory
  • Excellent communication and customer service
  • Finance processes and concepts knowledge a plus
  • Experience with Phoenix Operation product and programs a plus
26

Master Materials Data Analysis Resume Examples & Samples

  • Knowledge that extends across multiple disciplines
  • Team and / or Project Leadership experience
  • Excellent presentation and group facilitation skills
  • Due to projects & programs we require this position to hold a US Citizenship or Green Card Holders (US Person)
27

Data Analysis Specialist Resume Examples & Samples

  • Demonstrated knowledge of the principles and practices pertaining to Graduate Education or higher education
  • Experience in computer programming languages and software such as SPSS, SAS and SQL
  • Demonstrated knowledge of analysis techniques and reporting strategies
  • Experience in computing and data analysis
  • Demonstrated knowledge of data management and information technologies
  • Experience in quantitative data analysis and interpretation
  • Experience in collecting, organizing, synthesizing and analyzing data; summarizing findings; developing conclusions and recommendations
  • Experience in planning, analyzing, and coordinating activities and establishing priorities
  • Experience in managing multiple priorities
  • Experience using programs such as Excel, Access, Word, and PowerPoint
  • Experience in accurately and reliably interpreting data for determining appropriate action
28

Data Analysis Lead, Cardiovascular Resume Examples & Samples

  • Provide leadership and oversee the planning and execution of programming activities across multiple clinical and cross-trial activities as well as non-clinical activities
  • Representation of Data Analysis for respective area on the clinical and program teams and coordinating and overseeing all programming support to ensure quality and on-time deliverables
  • Contributes to the development of vendor contracts and business planning budget estimates
  • Responsible for assessing scope of work, estimation of resource demands and ensuring updates to functional planning systems
  • Partners with Operational Functional Leads (OFLs) to ensure proper resource allocation
  • Collaborates with external partners on data analysis related deliverables for co-development programs
  • Provides leadership and expertise in departmental and cross-functional initiatives to develop and implement solutions as well as serve as a departmental resource in areas of expertise
  • Providing input into hiring decisions and ongoing evaluation of talent
  • May undertake people development responsibilities through coaching, training, and performance management as well as ensure training compliance
  • In-depth knowledge of programming, inter-departmental processes, and relevant Clinical R&D concepts
  • In-depth knowledge of relevant regulatory guidelines, project management, and team leadership
  • May require knowledge related to talent development and relevant personnel policies and procedures
  • A Bachelor’s degree or higher and/or equivalent in computer science, mathematics or other scientific field (or equivalent theoretical/technical depth) is required
  • A minimum of 8 years programming experience (i.e. SAS, R) with increasing responsibility, in a pharmaceutical/clinical trial environment is required
  • Demonstrated written and verbal communications skill is required
  • Must have extensive and varied experience planning programming activities and leading teams of programmers and experience leading teams on large complex projects
  • Demonstrated leadership in strategic decision making and departmental problem solving is a plus
  • Demonstrated leadership on cross-functional projects is also a plus
  • Up to 10% travel will be required, both domestic and international.Biostatistics
29

Manager, Data Analysis Resume Examples & Samples

  • Manages workloads, deadline requirements, and dedicated resources to meet the needs of internal/external customers with respect to reporting, analysis, and Ad-hoc data requests
  • Develops and implements protocols to ensure that the database is populated with accurate data, and establishes processes and schedules for periodic data validation
  • Using MS Access, creates, designs and develops databases and reports to fulfill information requirements and to meet strategic and operational requirements
  • Downloads information to create data repository for reporting and mapping purposes
  • Produces monthly/quarterly reports for internal analysis
  • Develops project plans and establishes schedules for required data downloads to support assigned databases
  • Works with other database administrators throughout the organization to ensure data integrity and consistency while developing efficiencies as appropriate
  • Facilitates and organizes meetings with departmental resources as necessary to gather data for inclusion in assigned databases
  • Develops Access databases to be used in reporting and analyzing departmental production, quoting sales trends, etc
  • Researches, implements and provides training on software programs to support the development of analytical projects
  • Performs other responsibilities as assigned
  • Five or more years experience with database development and data management
  • Experience using database tools such as MS Access/VBA, SQL/Oracle required
  • Experience managing data from Salesforce.com or similar tool preferred
  • OR any combination of academic education, professional training or work experience, which demonstrates the ability to perform the duties of the position
  • Excellent data management and project management skills required
  • Ability to effectively manage and lead a team of technical reporting staff
  • Strong analytical, quantitative, organizational and communication skills required
  • Highly organized with ability to work under pressure and availability to meet deadlines as necessary
  • Position requires schedule flexibility
  • Strong understanding of computer systems and technical proficiency in MS Office (Word, Excel, PowerPoint and Access) is required. Proficiency with VBA and SQL required. Understanding of Salesforce.com or similar sales tracking sytem preferred
30

Manager, Data Analysis Resume Examples & Samples

  • Manages global team of data analysts and engineers
  • Work closely with Developers, Product, internal Business, and Infrastructure teams
  • Establish standard processes for support, escalation, tracking and reporting support tickets, identify ways to reduce ticket counts and continue to improve support
  • Define Support, Data Quality, Performance SLAs, measure and communicate
  • Work closely with other support organization and establish internal SLAs and build relationship
  • Fine tune ITIL processes to better meet business needs
  • Lead and drive root cause analysis for BI Incidents
  • Lead Business training opportunities for Data, tools and continue to educate Business for self-service
  • 7+ years of professional experience in managing IT Support function preferably in analytical space
  • 3+ Experience in leading analytical support teams including managing BI Operations, managing BI Incident, problem management, Data Quality management, Data helpdesk, etc
  • 2+ yrs of experience with ITIL processes
  • Expert skills in Microsoft Excel, SQL; data mining experience
  • Ability to deal with ambiguity and competing objectives
  • Top notch communication skills to convey key insights from complex analysis in summarized business terms
  • Good team player and the ability to work with a wide cross-section of people in various locations
  • Impeccable attention to detail, passion for processes and systems
  • Experience with one of the modern BI tool (ex. Tableau) will be a value add
31

Data Analysis & Statistical Methods Intern Resume Examples & Samples

  • The candidate must be pursuing an MS or Phd in Computer Science or Statistics
  • Understanding of fundamental principles of probability & statistics
  • Design & Analysis of Experiments
  • Modeling fitting, assessment & diagnostics
  • Exploratory data analysis, data mining, Machine learning algorithms
32

Senior Data Analysis Engineer Resume Examples & Samples

  • Interpret data, analyze results using statistical techniques and provide ongoing reports on Honeywell key products(APUs, ECS, Engines, CMCs, Wheels and Brakes) performance monitoring across CA, BA, GA and Helo platforms
  • Setup the infrastructure of database, data analysis methodologies and tools
  • Develop web-based software applications including UI, communication, database and algorithm with Java, JavaScript, C++, and SQL etc
  • Drive common Human Factors(HF) principles to develop enterprise application solution to deliver value added services to the customer using the data collected from the aircraft
  • Develop and maintain professional working relationships with other teams (MCOE, FSE and CBE) as well as functional teams including controls, design and development, and applications in US
  • Promote best practice development habits and highest product quality standards through
  • Master or Bachelor degree in computer science or a related field
  • Proven working experience in web-based application programming
  • 2+ years of aircraft performance monitoring experience
  • A solid understanding of how web applications work including security, session management, and best development practices
  • JavaScript, JQuery, HTML, HTML5, CSS, CSS3, Web Programming Skills, Web User Interface Design (UI), Security Principles, Object-Oriented Design, Web Services (REST/SOAP), Multimedia Content Development, API's
  • Ability to work and thrive in a fast-paced environment, learn rapidly and master diverse web technologies and techniques
  • Interest in working in a team environment where innovative ideas are shared and developed
  • Proficiency in computer applications and expert in Window applications
  • Excellent English speaking and writing skills required
33

Associate Data Analysis Resume Examples & Samples

  • Evaluate requests from the team and write custom SQL queries in order to efficiently pull the required data
  • Perform data analysis and present the findings in a PowerPoint format
  • Project expected lift from sales and loyalty initiatives, and monitor and report on their progress
  • Analyze changes in key performance indicators, and identify the potential causes as well as opportunities for improvement
  • Prepare the monthly communication of incentive programs to the Frontline teams and provide progress updates
  • Maintain a calendar of initiatives and liaise with the Marketing team on their initiatives
  • Manage administration of Hype and recognition programs
  • Enter payouts in SAP and maintain a tracker of all payouts for the year
  • Strong analytical and communication skills
  • MS Excel - intermediate level (pivot tables, formulas)
  • MS PowerPoint - intermediate level
  • English, fluent in the language with no significant limitation
  • Able to work autonomously and demonstrate initiative
  • Ability to work under tight timeframes and manage multiple priorities
  • 2+ years experience in data analysis
  • SQL - intermediate level (Oracle, MS SQL)
  • Experience in a call center environment
  • Familiarity with SAP
  • French, working ability to carry out normal business in the language
34

Manager, Data Analysis Resume Examples & Samples

  • Implement and assist with the development of strategic and tactical analytics reports
  • Reviews and provides input for creation of reports, charts, presentation and timelines in support of department or business operations. Translates analytical findings into business recommendations
  • Manages identification, research, and resolution of discrepancies in analytical procedures or cross-functional methods
  • Operates large data volumes from various internal data sources. Transforms data into actionable insights
  • Researches and analyzes analytics data to determine trends and identify opportunities for customer growth and digital conversion rate optimization
  • Manages the work of outside expertise engaged to assist or deliver analytic projects
  • Guides capability development within the delivery organization; including reviews, gap assessments and works to source and deliver strategies
  • Manages impact analyses and validation studies and market research through all stages
  • Conducts meetings and presentations to senior leadership
  • Manages development of analytical tools and numerical modeling of complex operations systems and processes. Develops KPI dashboards
35

Data Analysis Manager Resume Examples & Samples

  • Lead a team of Data Management Analysts focused on continuous improvement in the following areas
  • Previous direct experience with self-service analytics tools (Tableau, MicroStrategy, etc.)
  • Bachelor’s degree or equivalent experience. Advanced degree preferred
  • Strong understanding of data warehousing (Oracle, SQL, etc.), transformation (Informatica, etc.), and best practices
  • Strong knowledge and working experience in SAS; ability to write and understand SAS programming language
  • Experience in documenting data lineage from operational source to reporting repository, including ETL
  • The ability to lead, make decisions and drive results that positively impact productivity, efficiency, overall customer service levels, and enhance company profitability
  • Progressive IT and business leadership experience with emphasis on Enterprise Data Management
  • Excellent knowledge of current and future technologies and trends impacting the financial service and insurance industry
  • Ability to be a strong advocate for process and technology improvement
  • Ability to effectively present information and respond to questions from the executive leadership team and business customers at all levels
  • Develops staff skills to enhance department effectiveness
  • Passion for innovation and continuous improvement and ability to effectively lead/drive change
36

Senior Data Analysis Manager Resume Examples & Samples

  • Actively monitor, analyze and report on the health of marketing contribution to pipeline, program spend and ROI, customer acquisition and penetration, contact acquisition and activity. Provide senior management with analysis for marketing investments, pipeline impact and goal setting
  • Drive processes and standards to support the marketing systems and ensure optimal data quality, lead flows, campaign tracking and sales enablement
  • Periodically measure all stages of the customer acquisition funnel from engagement to monetization and generate actionable insights
  • Develop funnel reporting to support recurring operating reviews and planning discussions for senior leadership
  • Drive marketing database strategy: analyzing gaps in our data, contact acquisition strategy, practices that ensure data quality and measuring database health
  • Own and continue to develop various attribution models for media spend
  • Partner with Campaign Marketers to optimize campaigns within each channel
  • Lead and develop strategy for reporting, testing, analyzing and forecasting all digital marketing channels
  • Act as an advocate with senior leadership to (cost effectively) drive top-line digital and offline activities
  • Partner with Product, IT, and Marketing teams to develop requirements for tracking, tagging and sourcing leads
  • Integrate disparate data sources and tools to deliver integrated, actionable insights
  • Manage relationships with digital analytics vendors on all aspects of data reporting, visualization, & integration
  • Analyze performance, identify areas to optimize and execute testing where appropriate
  • Implement and champion analytics best practices and a cohesive, standardized approach
37

Data Analysis & Intelligence Resume Examples & Samples

  • Develop the tools and data architecture to best capture all of Skype’s critical data and enable insights across the breadth of the Skype Consumer family of products
  • Synthesize, merge, and transform the existing BI and analytics systems into an integrated and robust data pipeline
  • Champion the use of Business Intelligence and Telemetry to drive a deeper understanding of key user level metrics like Monthly Active Users (MAU), Average Revenue Per User (ARPU), user retention, etc
  • Partner with our development teams to enable a system of active data quality measurement and monitoring to ensure business continuity
  • Partner with Program Management to make data-availability and data-integrity a top-priority for all development teams
  • Help create and deliver specifications and training for Skype’s distributed data model and the go-forward model to ensure data quality and availability
  • Enable dashboard access to key metrics for business and product managers
  • 4 years of experience building and operationalizing complex, large scale, big data systems
  • Are able to break down complex business and technical problems to derive a relevant and measurable supporting drive a data model
  • Have experience managing the design of the data and technical architecture of the data store, data lake, pipelines and other assorted reporting/distribution services for an end to end business
  • Strong experience with Data Visualization tools like PowerBI & Dashboard Development
  • Experience with Big Data, large scale computing systems like COSMOS, Hadoop, MapReduce
  • Experience with SQL, R, Python, SAS, RapidMiner, SPSS AzureML or similar languages is desirable
  • Have earned a BS (M.S. preferred) in one of Computer science, Data Science, Statistics, Physics, Computational Biology, Bioinformatics, or related field
  • Demonstrate strong communications and presentation skills, and the ability to work across teams to drive results
  • Are a tenacious problem solver that is comfortable with ambiguity
38

Data Analysis Resume Examples & Samples

  • 2-3 years of SQL knowledge with the ability to write queries and manipulate data
  • Understand data quality strategies and data profiling in a healthcare provide environment
  • Have effective verbal and written communication as they will be working closely with data consumers
39

Lead Business & Data Analysis Developer Resume Examples & Samples

  • Advanced skill with SQL (ability to manipulate, join, aggregate, filter, and clean data)
  • 5+ years of experience in correlating business processes and IT applications to back-end databases and systems, with a goal to create repeatable, efficient data objects for BI, Analytics and Information exchange
  • Experience with Tableau
40

Senior Data Analysis Resume Examples & Samples

  • Can work multiple projects concurrently within an informal and matrixed organization, independently managing your own priorities and schedule
  • Communicates effectively in verbal and written form
  • Has a zeal for solving the other the technical issues others run from
  • Possesses a toolkit of technical skill and a willingness to grow it
  • Proactively monitors system activities and develops solutions to avoid the problem that has not happened yet
  • Is an analytical thinker able to bring creativity to technical problem solving
  • 5+ years’ experience in database marketing support
  • Experience with ETL tools (Informatica, SAS)
  • Experience working with complex customer data
  • Experience with big data analysis and platforms (Aster, Vertica)
41

Management Data Analysis Resume Examples & Samples

  • Experience in an operations role
  • Strong analytical and business problem solving skills
  • Strong knowledge of business intelligence tools including SAS, Tableau, Microsoft Office
  • Basic understanding of forecasting, optimization, and other predictive modeling techniques
  • Excellent planning skills. Strong communication skills
  • Must be committed to continuous improvements and innovations within the department
  • Results oriented, ability to meet and exceed objectives and handle multiple deadlines and priorities
  • Masters Degree in Business Administration
  • Familiar with Mortgage Insurance Industry
42

Data Analysis Intern Resume Examples & Samples

  • Analyzing existing data records for quality and perform corrections
  • Correct item attributes that fall outside the acceptable values per the exception reports
  • Populate missing attributes for the materials masters as directed
  • Mine critical material master data fields, including global material classification characteristic data, according to data standards and based on the review of engineering and purchasing specifications and drawings
  • Normal mechanical and analytical ability is a must
  • Must have aptitude for understanding part specifications, data mining, and projecting data design implications onto varied business processes
  • Knowledge of SAP preferred
  • Proficiency in Microsoft Suite Applications (Word, Excel, Access, and PowerPoint) as well as Internet software and E-mail is required
43

Director, Data & Analysis Resume Examples & Samples

  • Manage a team of data scientists, application developers, and statisticians with well-defined work processes including directing daily work activities, establishing priorities, monitoring workload and completing contract deliverables as defined by the statement of work
  • Direct data acquisition, transformation, delivery and provide oversight and technical checkpoints to ensure data integrity and exceptional quality standards are achieved
  • Lead a team of data scientist to query and mine large data sets to identify patterns and trends that are indicative of potential fraud, waste, and abuse using traditional as well as predictive/advanced analytic methodologies
  • Implement innovative data analysis methodologies to effectively predict, detect and prevent fraud, waste and abuse
  • Leverage multiple systems to develop reporting metrics, analyze methodologies, and protect integrity of data
  • Maintain strong working relationships with CMS, OIG, Law Enforcement, State Medicaid Agencies, and the Affiliated Contractor, prime or subcontractors, including regular participation in conference calls
  • Participate in the National Statistics Conference for statistical tools and the defense of statistical methodologies during appeals and prosecution of large cases
  • Participate in and contribute to the quality management system
  • Significantspecialized knowledge and expertise in data analytics and tools to include detecting and investigating health insurancefraud, waste, and abuse
  • Extensiveknowledge of the Medicare and Medicaid data and systems
  • Workingknowledge with healthcare claims and coding principles to include ICD-9/10,CPT, HCPCS, RUGS, DRG, physician specialty coding, survey and certificationdata, and provider identifiers
  • Extensiveknowledge of various database management systems in order to input, extract, ormanipulate information
  • Ability toprovide leadership to colleagues and senior management in innovative datamining and analysis techniques
  • Exceptionalability to drive results through strong collaborating and influencing skillsacross all business segments
  • Workingknowledge of HIPAA Privacy and Security Rules and CMS security requirements
  • Excellentcommunication skills including written and verbal. Ability to present to largeor small groups required
  • Must be ableto multi-task and work in a fast paced environment with multiple deadlines
  • Strongorganizational and prioritization skills with ability to collaborate withmultiple teams and departments
  • Workingknowledge of Microsoft Excel, Word, Access, Visio, and PowerPoint; SQL, andMicro Strategies
  • A bachelor’sdegree from an accredited institution in Information Systems, Computer Science,Statistics, or Mathematics
  • Notcurrently sanctioned or excluded from any program operated by Federal or StateAgencies including Medicare and Medicaid
  • Certified FraudExaminer or Accredited Healthcare Fraud Investigator
  • Minimum of tenyears of experience in program integrity data analysis
  • Minimum of threeyears of supervisory experience in data management and analysis
  • Demonstratedexperience and knowledge of healthcare information (e.g., health claims dataspecifically Medicare and Medicaid and health care coding) is required
  • Showslongevity with one or more past employers
44

Data Analysis & Data Modeling Professionals Resume Examples & Samples

  • Develop data requirements with our business partners
  • Ensure that data requirements are compliant/adherent to the enterprise standard model
  • Applying establish patterns and collaborate with Engineering/Architecture to improve patterns
  • Create and maintain logical and physical data models for solutions
  • Work with peers to map data models to the common enterprise model
  • Import, cleanse, transform, model, analyze, measure and report data
  • Establish, communicate, and maintain data and data collection standards and principles
  • Design IT and business processes to incorporate ETL standards
  • Provide feedback on ETL process effectiveness
  • Learn, develop, and maintain application data flow documentation
  • Ensure adherence to metadata standards and effective use of data dictionary by application teams
  • Identify and raise data related issues, interdependencies, and risks as appropriate
  • Stay current with trends in data management
  • Guide team resources in following established data management standards
  • Recruiting to list standard IT Analyst skills and abilities and add
45

IT Manager Data Analysis Resume Examples & Samples

  • Lead analysis with regards to transactional accounting data within SAP or other IT systems
  • Assume full leadership for audit preparations to ensure that all risks and controls are identified
  • Ensure constant communication to the Engagement Director, escalation of potential issues and actively seek clarification on engagement task requirements
  • Utilize SQL or other appropriate tools to interpret results and conduct business process improvement from an IT perspective
  • Review your team’s findings and provide constructive feedback
  • Play a leading role in closing meetings with management, presenting findings, conclusions and recommended improvements
  • At least 6 years of professional experience within a Siemens related industry or a ‘Big 4’ accounting firm
  • Strong academic history (degree in IT, Computer Science, Business or Finance)
  • Strong leadership and technical experience in a Data Analysis or Process Mining Environment with SAP modules (PP, FI, SD, MM, PS, CO) OR statistical data analytics (R, SAS, Matlab, etc.)
  • Advanced knowledge of architecture, data structures, -management and –analysis including very good SQL skills
  • Extensive experience with visualization of complex data (e.g. QlikView)
  • Experience in managing global and complex data projects
  • Fluency in English and willingness to travel 70% - 80% of your time globally
46

Global Data Analysis Trainee Resume Examples & Samples

  • 3rd or 4th year of studies at the university
  • Fluency in English – both written and spoken
  • MS Office - Very good level of user experience
  • Excellent Communication skills
  • Willingness to learn and work in team
47

Senior Technology Manager, Data Analysis Resume Examples & Samples

  • A reputation across the financial services industry for genuine thought leadership, and presenting on the technology conference circuit
  • Passion for emerging technologies and knowledge of industry standards, including structured and unstructured approaches, Big Data tooling, usage of Industry Models and Data Lineage
  • Demonstrated experience delivering technology change in a tightly governed and commercial technology business environment
  • Deep understanding of Data Analysis and Modelling
  • Adaptability and flexibility to evolve with changing business priorities
48

Data Analysis Resume Examples & Samples

  • Ensure a standardized and consistent approach relating to DQM participation and implementation of Data Governance, Business Intelligence (BI) and Analytics
  • Acts as the subject matter expert to assist in the development of the appropriate strategies, plans, tools and approaches to ensure successful implementation of DQM reports, dashboards and scorecards
  • Think analytically and critically to lead reporting standardization and automating efforts
  • Lead multi-disciplinary teams to use data in improving usage and operational workflow
  • Provide complex data analysis, data mining, and data science with ad hoc and operational reports as requested by Group, Division, and Corporate leaders
  • Demonstrated knowledge to understand DQM data in order to develop and design reports
  • Identify reporting needs to support usage goals throughout the Facility, Division, and Group levels of HCA
  • Obtain field feedback on usage activities to continuously improve DQM output
  • Use and support database applications and analytical tools, evaluate data quality, applications, and workflow functions
  • Format, run, distribute, and interpret reports using the available tools
  • Provide in depth "what if" analysis of data using available tools
  • Escalate to and collaborate with DQM Director on program issues and risks to identify solutions
  • MicroStrategy or Tableau experience required and course completion required within 6 months of employment
  • Experience with relational database management systems; Teradata experience required
  • Ability to communicate and facilitate topics clearly and effectively across department lines; working inside peer groups and receiving guidance from supervisor
  • Knows and applies the fundamental concepts and principles gained through experience to solve a range of straightforward problems and moderately complex problems
  • Knowledge of health industry data standards/normalization required for data interoperability and health information exchange (i.e. LOINC, SNOMED-CT, RxNorm, ICD-9, etc)
49

VP / Group Director, Data & Analysis Resume Examples & Samples

  • Data Strategy – Design and execute approach to ingesting and activating the right data for various media and creative executions across all channels
  • Tech Leadership – Oversee team supporting Ad Servers and Data Management Platform administration. Provide relevant POVs on industry trends and solutions to futureproof stack approach. Also oversees all aspects of tagging and media trafficking with dedicated Director of Tech Ops and Trafficking reporting into the Group Director
  • Insights – Uncover insights about customers using first, second and third party behavioral data
  • Analytics – measure ROI of investment in data and demonstrate ongoing performance and cost savings
  • Orchestrator - Be a knowledge leader and a reliable source of “what we know” and a partner for filling knowledge gap – connect dots and create consistency across disparate lines of business
  • Leader - Identify efficiencies and create more effective and innovative ways of working for a large, cross-functional team. Combine data, talent/capabilities, technology and industry relationships to create high margin, revenue-generating products in the areas of targeting/ad serving, optimization, social amplification, and new ad models
  • Technical Expertise: Deep understanding of data and adtech / martech, likely has experience in product management, solutions engineering or another technical area
  • Strategic intelligence: Well versed in qualitative, quantitative and analytic techniques and can focus this knowledge to help us drive action. Knows the right questions to ask in each circumstance
  • Operational leadership: Able to scale our approach through team capability building and tool development
  • Marketplace knowledge: Demonstrate deep knowledge of the research and analytics marketplace – the vendors and data sources we can tap to drive our business forward. And build new knowledge about emerging providers
  • Relationship building: Achieve trusted advisor status with key client and internal stakeholders
50

IT Analyst / Graduate for Data Analysis Resume Examples & Samples

  • Ensuring the right level of functional knowledge in the technical team
  • Providing recommendations to the business on solutions, taking into account and cross-functional impact
  • Reviewing and approving UAT scenarios and training materials
  • Reviewing testing approach and materials to ensure business requirements are met
  • Delivering training on new processes and solutions for the business
51

Data Analysis Engineer Resume Examples & Samples

  • Develop data analysis code, databases, & data visualizations
  • Develop methods for high resolution analysis of signal data from prototype vehicles, to inform firmware development and release to customers
  • Develop methods for low resolution analysis of vehicle trends at scale
  • Provide development teams insight into vehicle usage & performance in real world environments
  • Generate reports for development, management, and executive teams to inform decision making
  • Collaborate across teams to gain insights into how products will perform for customers, and advocate continual improvement
  • B.S. or higher degree in Computer Science, Electrical Engineering, Mechanical Engineering, or similar
  • 5+ years’ experience working in a data analysis role
  • Strong experience with: python development, databases (MySql, MongoDB, etc.), data visualization
  • Familiarity with: big data ecosystem (Spark, Hadoop, etc.), software development best practices, data analysis at scale
52

Data Analysis & Data Management Intermediate Analyst Resume Examples & Samples

  • Ensure business operations usage of unknown T-Codes (breaches) are resolved and escalated with AML Monitoring where necessary
  • Facilitate the T-Code BAU Implementation Cycles (UAT, Volume Assessment, Technology deployment) to ensure timely completion
  • Gain a good understanding of the end-to-end data lineage from Product Processor to AML system to ensure T-Code controls are in place to mitigate regulatory risk
  • Support ongoing reviews of business operation usage of the T-Codes
  • Quality Assure Change Requests for correct AML applicability
  • Provide input to all T-Code related initiatives by acting as a point of contact within all Regional AML Operation groups
  • Support and develop internal MS Access tool
  • Identify continuous improvements to automate and improve labour intensive tasks
  • Support UAT of systems and processes
  • Support successful accomplishment of internal Management Control Assessment (MCA) policies as they apply to the department
  • Define processes and procedures aimed at meeting internal and external regulatory or policy guidance
  • Banking / Finance / Business background
  • Demonstrated ability to work independently, interact effectively with different levels of management and to operate with excellent corporate work ethics (timely, honest, respectful and considerate to co-workers)
  • Computer Literate - proficient in Windows applications
  • Experience with report automation - Excel, Access, VBA (knowledge check)
  • SQL basics preferable
  • AML background preferable
53

Data Analysis Engineer, Surfmax Resume Examples & Samples

  • To gather image acquisition and processing requirements
  • Develop requirements document collaboratively with SurfMax team
  • Create solutions and data handling/processing algorithms
  • Supports software team and aids their programing if necessary
  • To provide post proposal support
  • Follow up with customer or applications team to address questions and obstacles
  • Reengineer solution as necessary
  • To provide image processing expertise for necessary project related activities – post sales
  • Ongoing solution development coordination
54

Data Analysis Manager Resume Examples & Samples

  • This professional will leverage advanced technologies (machine learning, statistics, data mining, data analytics and data visualization techniques) to Crowe’s external audit practice
  • The professional will work with Audit Methodology, APP, audit personnel, audit engagement teams and Audit Business Unit (BU) leadership to transform our delivery of audit services and value proposition to our clients
  • The professional will serve on the newly formed Audit BU Data Analytics and Machine Learning Committee and support the Audit BU data analytics and machine learning pilots and innovational projects
  • This professional will serve as a liaison to Applied Technology resources on Audit BU projects in this area of specialization
  • Handle other duties assigned by employer
  • Professional must have business acumen and a background in math, applied statistics, decision sciences and/or data science
  • Demonstrated experience with data analysis, data integration and data validation activities
  • Demonstrated leadership skills and the ability to manage multiple projects
  • Strong organizational, interpersonal and presentation skills
  • Highly effective verbal communication skills and the ability to interact with all levels of management
  • MS in Applied Statistics, Quantative Finance, Mathematics, or Accounting with course work in Management Information Systems
  • 4 to 8 years of recent relevant experience
  • Experience with data analysis, data validations, data integration/ETL technologies, and business analysis
  • Possesses knowledge of the challenges for a data integration implementation and data integration methodology
  • Experience with Data Integration/Business Intelligence projects
  • Ability to work with IT and business personnel
  • Experienced and successful professional services/consulting background would be preferred
  • Experience with analytical software packages/tools/languages ((i.e. R, SAS, SQL, ACL) and visualization tools (i.e. Tableau, Telerik, and Microsoft Power BI)
  • Experience applying such tools to solve complex analytics problems in a team environment
  • Accounting and/or auditing knowledge is preferred, but not required
55

Data Analysis Manager Resume Examples & Samples

  • The professional will work with Audit Methodology, APP, audit personnel, audit engagement teams, and Audit Business Unit (BU) leadership to transform our delivery of audit services and value proposition to our clients
  • This professional will serve as a liaison to the Applied Technology BU, leveraging their resources in advanced technologies (machine learning, statistics, data mining, data analytics, and data visualization techniques) on Audit BU projects in this area of specialization
  • This role is not hands-on in working as a data scientist, but instead working with various groups within the Audit BU to
  • Understand a given process/project
  • Interpret and identify the various components
  • Recommend which specific components of that process/project can be improved through using better data analytics, visualization, or machine learning
  • Weighs the cost/benefit of implementing those changes in terms of development time and cost, versus ability to buy a solution, and expected change in revenue/expected change in process efficiency
  • MBA, MS in Applied Statistics, Quantitative Finance, Mathematics, or Accounting with course work in Management Information Systems
  • Strong written and verbal communication skills and ability to provide thought leadership relevant to the interests and needs of our client base
  • Experience recommending appropriate tools to solve complex analytics problems in a team environment
  • Familiar with analytical software packages/tools/languages (i.e. R, SAS, SQL, ACL) and visualization tools (i.e. Tableau, Telerik, and Microsoft Power BI)
  • Ability to work with both technology and business personnel
56

Manager, Data Analysis Resume Examples & Samples

  • Develops diagnostics to identify and optimize business performance against objectives
  • Understands requirements and develops specifications for business analysis needs
  • Develops and monitors business metrics and/or financial results for senior leadership
  • Designs and enhances existing metrics by analyzing current methods and processes to ensure alignment with short and long term business objectives
  • Determines strategic goals for group/department and develops action plans to achieve strategic goals plus objectives set by upper management
  • Provides leadership to staff inclusive of the management life cycle
  • Takes accountability for team’s work product by coaching and developing others for success
  • Delegates data retrieval from staff and various sources and reviews data analysis
  • Bachelor's degree in Finance, Mathematics, Accounting, Economics or Statistics
  • In lieu of a degree, a minimum of 8 years property casualty insurance experience or related experience, including 2 years in a supervisory/management role
  • Understanding of business processes and systems knowledge
  • Understands requirements and the ability to develop specifications for business analysis needs
  • Proven ability to develop predictive data models using statistical and mathematical methods
  • Critical thinking and problem solving skills
  • Ability to manage and motivate staff
  • Solid communication skills, verbal and written and listening
  • Ability to prepare and conduct presentations
  • Strong knowledge of MS Office Suite
  • Prior experience leading a team of analysts using a consultative business approach
  • The ability to collaborate with others to understand the underlying business question and the context within which the question is being asked
  • The ability to craft an analytical approach to answer unique questions for which there has never been a defined analytical process
  • The ability and interest in exploring questions about human behavior and how a “system” influences that behavior
  • The confidence to state an opinion despite ambiguous answers resulting from the analytical approach
  • A passion for challenging and coaching others to continuously improve their analytical and consultative capabilities
  • Demonstrated experience coaching or mentoring others may fulfill the supervisory experience requirement
57

Lead Business & Data Analysis Analyst Resume Examples & Samples

  • 5+ Years SQL experience with advanced programming including in database processing knowledge (ability to manipulate, join, aggregate, filter, and clean data)
  • Strong business acumen and business sense. (This is not an IT role – the role will act as an interface between the business and data, but with a strong hands-on understanding of linking the business to the data via SQL and data analysis experience)
  • 5+ years of experience in Business Intelligence and or Analytical role; taking data its rare form and creating a story
  • 5+ years of experience working with large databases and data-warehouses to create meaningful, usable data solutions to extract information out of application transactional data
  • Ability to consult with business stakeholders and senior leaders determining their analytics needs and goals
  • Patience, resilience, comfort with ambiguity, strong drive, an agreeable, collaborative personality, and a desire to go above and beyond what is required of the job responsibilities to deliver value to the business
  • Experience with SSRS
  • Advanced skills with Excel (VBA)
58

Manager, Market Data Analysis Resume Examples & Samples

  • Design and execute Safeway’s customer centric marketing strategy
  • Develop and drive initiatives designed to build loyalty and share of wallet with Safeway customers
  • Segment customers along a variety of behavioral and attitudinal factors to improve Safeway’s understanding of customer and shopper behavior
  • Leverage proprietary customer segmentations, shopper insights and customer analysis to develop strategies to increase loyalty and share of wallet
  • Design controlled experiments to execute targeted marketing strategies and understand & evaluate customer behavior
  • Synthesize results at the segment level and share key insights across the organization
  • Perform quantitative and qualitative analyses to support strategic projects and initiatives
  • Develop and present findings to senior management
  • Interface with a wide variety of internal and external stakeholders
  • Manage own work and work of analysts to meet internal and external expectations
  • Mentor and coach analysts on the team
  • Bachelor’s degree in Marketing, Economics, Business, Math, or Statistics; MBA preferred
  • Proven strategic management experience, transforming vision into actionable strategies
  • Strong project management, leadership, analytical and problem solving skills
  • Excellent interpersonal and negotiating/influencing skills
  • Excellent presentation skills, with the ability to communicate with Senior Management
  • Ability to handle multiple assignments and manage competing priorities with tight deadlines
  • Strong detail orientation. High degree of initiative and results orientation
  • Team player. Highly collaborative, with ability to manage a diverse team
  • Proficient in MS Office Suite, modeling, data manipulation tools, and relational databases
  • Experience with CPG, Marketing or Retail Category Management preferred
  • Experience with SAS, SQL, legacy mainframe systems, OLAP, and Visual Basic a plus
59

Data Analysis Intern Resume Examples & Samples

  • Support data collection, validation, cleansing and analytics activities and provide recommendations for data quality improvements
  • Develop in-depth understanding of current process and systems flow, seek opportunities and provide recommendations for improvements
  • Develop in-depth understanding of data residing in disparate enterprise-wide database systems and support the team in working towards better transparency of GSM data
  • Maintain strong cross-functional relationships
  • Working towards BS degree (preferably IT/ data) and some related experience
  • Proficient with Excel
  • Data Analytics/ BI tools (Qlik, Tableau, etc…) knowledge welcome but not a must. Candidate must be willing to learn
60

Business & Data Analysis Analyst Resume Examples & Samples

  • Compiles clear and concise business requirements using a flexible and adaptable approach, emphasizing creative/ innovative strategies
  • Works with business users and technical developers to gather, define and document proposed solutions to the business requirements
  • Help define and refine user requests for data enhancements, changes, ad hoc needs, production issues, and new development. Gain an understanding and then communicate these needs to the technical teams and data service providers
  • Creates workflow diagrams to visually represent business processes and/or data concepts
  • Builds strong partnerships between business, system teams, and data providers
  • Acts as the primary interface between business users and system resources for all issues that may impact assigned project
  • Performs decompositions of existing processes and data utilization models to provide recommendations on enhancements, risk mitigation, and/or design recommendations
  • Performs analysis on behalf of medium-sized and large, complex projects
  • Run ad hoc queries to support solution choices and provide supporting data to business partners where needed
  • Requires five plus years financial services experience with a focus on business and/or systems analysis
  • Demonstrated experience and, well versed with respect to leading practices around data management, data implementation, and technology implementations
  • Demonstrated analytical skills with the ability to synthesize large sets of data
  • A team player with outstanding interpersonal skills and an ability to communicate both verbally and in writing with various levels of management and across various groups. Initiates discussions with users or external groups to resolve issues
  • Demonstrated knowledge of Compliance and the regulatory industry
  • A self-starter who is assertive, independent and can work without close supervision on multiple concurrent projects
  • Experience in working with developers to decompose existing processes and recommend changes to existing systems design to achieve requirements
  • Self-starter who can work independently in a challenging situation
  • Business acumen with excellent analytical and problem solving skills
  • Demonstrated ability to collaborate effectively
  • Demonstrated experience of working on large programs
  • Strong relationship building and collaboration skills, must be a team player and able to interface with business and IT stakeholders in order to execute objectives
  • Excellent communication skills – both verbally and in writing with technical and non-technical members of the program team
  • Time management skills
  • Ability to handle multiple simultaneous tasks
  • Strong SQL Skills or capacity to learn quickly
61

Manager, Data Analysis Resume Examples & Samples

  • Build a successful program from the ground-up; develop the road map of the analytics specific to strategic Vision regarding Healthcare Analytics
  • Support analytic data needs for assigned business unit. Handle complex data requests and acts as a “go to” person for other Data Analysts
  • Identify and prioritize recurring and ad hoc data analysis needs of the Health Plan to enable management to control medical costs and ensure delivery of quality healthcare to members
  • Coordinate analysis and develop initiatives with cross health plan initiatives and capabilities
  • Perform analysis and reporting to support the Health Plan and Corporate
  • Manage development efforts with technical team liaisons, including business requirements gathering and documentation, testing, delivery and user adoption, and effectively communicate deliverable expectations to the Health Plan
  • Analyze plan data including service and clinical trend analysis
  • Develop reports through various data reporting tools
  • Manage, mentor, and train team of analysts
  • Bachelor’s degree in related field or equivalent experience - Master’s degree preferred
  • 5+ years of data analysis experience, preferably in healthcare
  • Previous experience as a lead in a functional area, managing cross functional teams on large scale projects or supervisory experience including hiring, training, assigning work and managing the performance of staff
  • Advanced SQL and Microsoft Excel skills, relational database knowledge, and various data reporting tool experience preferred
  • Good understanding of experiment design: Control vs. variations, factorial experiment design, multivariate experiments, simple random sampling vs stratified, etc
  • Provide leadership
62

Senior Manager, Data Analysis St Louis Resume Examples & Samples

  • Collaborate with health plan leadership to understand their data analysis needs, explain trends in data and actively drive further research and/or operational changes to assist in controlling medical costs and delivery of quality healthcare to members
  • Manage development efforts with technical team liaisons, including business requirements gathering and documentation, testing, delivery and user adoption, and effectively communicate deliverable expectations to the health plan
  • Bachelor’s degree in data related field; Master’s degree preferred
  • 8+ years of data analysis experience, preferably in healthcare or 5+ years of related IT experience, including data warehouse, coding or ETL experience
  • Understanding of health insurance business, claims payment procedures, strategies and trends in health care government programs preferred
  • Must have Research and Analytics experience pertaining to disease states and the impact and improvement of product design to lower cost & improve quality of life
  • Heavy Reporting, SQL and analytics
  • Demonstrates the ability to conduct qualitative and quantitative research and to analyze data in order to produce publications
  • Good understanding of experiment design: Control vs. variations, factorial experiment design, multivariate experiments, simple random sampling vs. stratified, etc
  • Participates in planning and execution of strategic investments in analytic tools and applications
  • Evaluates effectiveness and return on investment (ROI) for various initiatives
  • Advance knowledge of designing and implementing Epidemiologic studies to understand disease burden and health care services being utilized for disease diagnosis and treatment
63

Data Analysis Specialist Resume Examples & Samples

  • Interpret data, analyze results using statistical techniques and provide ongoing reports and insights
  • Filter and “clean” data, review reports and analyze trend to locate issues and inform teams to correct problems
  • Improve current systems and processes through identifying evolving technologies
  • Bachelor’s Degree in Engineering or a related technical field
  • 3+ years of experience in Microsoft Office applications (Intermediate/Advanced user of Excel, VB, and Access)
  • 3+ years of experience with statistical tools and methods
  • Ability to train and mentor others
  • Possess strong communication skills and ability to conduct business via audio and WebEx
  • Ability to adjust approach with respect to regional cultural differences
  • Strong leadership and analytical skills, able to formulate thoughts effectively for upper management projects and presentations
  • Strong Analytical and problem solving skills
  • Strong background in statistical methods and techniques, failure analysis, Six Sigma and process variability reduction
  • Master’s Degree or PhD in Engineering or a related technical field
64

Data Analysis Intern Resume Examples & Samples

  • Support PACC Director to Identify new network opportunities by tracking current participation alternative payment models and formulate recommendations to PACC resources
  • Research, develop, and maintain alternative care and payment model systems, tools, and processes taking into considering quality, patient experience and financial impact
  • Support PACC Director Resource to design innovative education presentations for home health agencies, potential network partners, current network partners, and the healthcare community
  • Assist PACC Director in coordinating with agency IDT to identify PACC performance outcome metric goals and thresholds for requiring performance improvement plans
  • Create, track, maintain and report on data for outcome metrics in alternative payment models participation, managed care contracts, and on company, cluster, and agency outcomes for Star and Home Health Compare
  • Provide support for innovative payment model agreements, including specific performance outcome metrics, provider gain sharing, physician alignment and value based purchasing/pay for performance models
  • Maintain current knowledge of alternative payment models (e.g., episodic payments: i.e., bundle payments for care improvement initiative, accountable-care organizations, managed care bundling and clinically integrated networks, etc.) and health care policy as it relates to continuum provider services, regulatory compliance and alternative payment models
  • Basic understanding of the post-acute care continuum, health care policy and alternative payment models (BPCI, ACO, Managed Care)
  • Strong working knowledge of excel to develop and maintain tracking tools both financial and outcome based
  • Must possess skills needed to collaborate and strategize with all continuum partners to build seamless quality transitional care processes across multiple settings within the continuum
  • Basic knowledge base of the evolving changes within the healthcare industry
  • Must be highly professional in demeanor
  • Able to think outside the box
  • Strong analytical and financial skills, and communication skills
  • Must be a team player, critical and creative thinker, and able to build relationships across the team in order to push PACC initiatives forward
65

Data Analysis Manager Resume Examples & Samples

  • Bachelor's in healthcare related field or equivalent years experience in healthcare quality improvement
  • Four to six years of statistical data collection and analysis or equivalent combination of education, training, and experience
  • Previous experience with data extraction from clinical information systems
  • Strong SQL writing skills, relational database knowledge (tables, keys, dimensional models, etc) and statistical programming is desired
  • Demonstrated proficiency in Excel, PowerPoint, MS Word, and database management
  • Ability to lead a diverse team of statisticians/data analysts
  • Excellent interpersonal skills and the ability to assist others in solving problems
  • Experience with providing customer service support activities across organizational elements
  • Excellent written and oral communication skills and be able to work independently as well as in a team environment
  • Demonstrated accuracy with reports and projects, analytical aptitude and strong attention to detail are also required
  • Proficient in performing trend analysis and advanced statistical analysis on a variety of data
  • Ability to adapt to multiple and changing priorities
  • Familiar with regulations, guidelines and standards
  • Knowledge of licensure regulations, Joint Commission on Accreditation of Healthcare Organization and state/federal standards
  • Ability to organize, formulate, educate and facilitate problem solving teams
66

Professional, Data Analysis Resume Examples & Samples

  • Degree in business, computer science, or related field
  • Experience with Real Estate Transaction Standards (RETS)
  • 5 years demonstrated experience and deep knowledge of working with data structures
  • Fundamental understanding of economics and statistical methods
  • Strong interpersonal and collaborative skills
  • Excellent analytical skills
  • Ability to adapt to ambiguity and be excited by data exploration
  • Data analysis and visualization with Tableau, Qliksense, PowerBI or related tool
  • TSQL experience desirable
67

VP / Director, Data & Analysis Resume Examples & Samples

  • Convince clients of the value of strategic services to their business, helping them define needs and potential solutions
  • Play an active role in new client acquisition and new business pitches
  • Identify new opportunities and establish relationships with prospective clients
  • Participate in or lead several new business initiatives simultaneously
  • Develop frameworks and methodologies for approaching major strategic issues, leveraging existing Digitas intellectual capital and developing innovative concepts
  • Provide methodological support, coaching and training to staff
  • Foster a team environment and play an active role in hiring new team members
68

VP / Group Director, Data & Analysis Resume Examples & Samples

  • Aligning strategy with client goals and objectives, coordinating with leadership to allocate and implement innovative direction
  • Defining the scope and approach of strategic client projects and directing ongoing client relationships to exceed expectations and strengthen the relationship
  • Developing the framework for all aspects of digital marketing, incorporating a variety of strategies
  • Expertly managing a strategic resource pool of more than 10 strategists across all levels Overseeing qualitative and quantitative research for clients and customers
  • Leading new business development across the region
  • Coordinating with Creative, User Experience, Technology, Media and Project Management capabilities
  • Four years of college education (mathematics or economics focus preferred)
  • 12–14 years of experience of meaningful experience in marketing consulting, advertising, or interactive
  • Deep familiarity with the digital environment and expertise in aligning marketing strategies with business needs
  • Strong knowledge of integrated marketing and CRM disciplines
  • In-depth knowledge of multiple industries including telecommunications, retail, CPG, financial, and retail
  • Proven leadership ability, including strong interpersonal skills and a team-player attitude with clients
  • An artful ability to translate unstructured business solutions into innovative customer marketing programs
  • Exceptional written, oral communication, and presentation skills – you’re articulate, poised and concise
69

Director of Data Analysis Resume Examples & Samples

  • Participate in cross health plan initiatives and capabilities, including data analysis support
  • Lead development efforts with technical team liaisons, including business requirements gathering and documentation, testing, delivery and user adoption, and effectively communicate deliverable expectations to the health plans and business units
  • Bachelor’s degree in data related field. Master’s degree preferred
  • 9+ years of data analysis experience, preferably in healthcare or 7+ years of related IT experience, including data warehouse, coding or ETL experience
  • Advance Knowledge of Designing and implementing epidemiologic studies to understand disease burden and health care services being utilized for disease diagnosis and treatment
  • Lead the ongoing development of analytic capabilities, within the enterprise to enable enhanced client solutions through improved data reporting
  • Strong Supervisory experience to provide leadership
  • Possess strong oral and written communication and interpersonal skills
70

Data Analysis, Intern Resume Examples & Samples

  • Participate in projects and initiatives from end-to-end, working closely with other groups in ETG
  • Collect, analyze and report on data related to resource utilization, workforce capacity, portfolio demand and other areas
  • Create ad-hoc reports in response to requests from internal business partners
  • Create and maintain resource profiles and alignments in the system of record (Clarity)
  • Assist with weekly hiring calls with Hiring Managers, Human Resources and Talent Acquisition to insure that needed resources are hired in a timely manner and in accordance with Professional Services goals
  • Provide written and verbal updates to senior management regarding Workforce Management
  • Create and maintain existing user training and procedure guides
  • The ideal candidate will be pursuing a graduate degree, or are in their junior/senior year of undergraduate studies
  • Comfortable working with large volumes of data
  • Experience collecting and analyzing data – advanced Excel experience desired (Pivot Tables, Macro's, V Lookups, queries, advanced written formulas)
  • Intermediate knowledge with other Microsoft Office systems including but not limited to Outlook, Word and SharePoint
  • Strong analytical and conceptual skills, balanced by the ability to apply common sense
  • Strong problem solving ability with the ability to find root causes
  • Capable of exercising extreme discretion, independent judgment, high organizational and problem-solving skills
  • Possess outstanding leadership, teamwork and interpersonal skills
  • Ability to work in a fast-paced, multi-faceted environment, to adapt to change and shifting priorities as a trusted business partner
  • Ability to handle multiple tasks and meet deadlines
  • Ability to communicate, both verbally and written, with a high level of confidence across all levels of business
  • Technology experience a plus
  • Experience collecting and analyzing information – excel experience desired
  • Must be self-motivated and driven to complete tasks under general oversight
  • Familiarity with MS Office Tools – Excel, Word and Outlook
  • Dependable and Reliable
  • Able to work 20-30 hours per week
  • Demonstrated teamwork skills
71

Senior Manager of Data Analysis Resume Examples & Samples

  • Support analytical data needs for assigned business unit
  • Handles complex data requests and acts as a “go to” person for other Data Analysts
  • Initiate and manage company wide data processes improvements
  • Manage cross functional activities related to large-scale analytic projects to deliver on schedule, within budget and with superior quality
  • Manage system/tool implementation and design as needed
  • Bachelor’s degree in statistics, finance, economics or other related field; Master’s degree preferred
  • 8+ years of data analysis experience, preferably in healthcare economics and 5+ years of related IT experience, including data warehouse, coding or ETL experience
  • Advanced SQL and Microsoft Access skills, relational database knowledge, and various data reporting tool experience preferred
  • Knowledge of statistics and application of high level mathematical models in medical and pharmacy claims data preferred
  • Provide leadership and strong management skills; ability to manage a staff of 4 to 5
72

Data Analysis Manager Resume Examples & Samples

  • Resource Management for a team of MicroStrategy Developers
  • Advisor to project teams regarding design and development activities, standards, risk mitigation and issue resolution
  • Thought leader of team that interacts with business teams and other stakeholders to define reporting solutions to meet diverse, complex business needs
  • Recommends changes to policies and established procedures that affect immediate organization's success
  • Manage and track action items, issues, and risks associated with a suite of applications. Follow up on items with appropriate parties to ensure their resolution and/or escalate issues in a timely fashion
  • Partner with Data Development Team to develop Reference Architectures, Patterns and Roadmaps for BI/Analytics. Establish and maintain design and development best practices
  • Define and develop strategy for the roll out of the new features of the MicroStrategy tool and version upgrades
  • Development and monitoring of performance metrics and Service Level Agreements
  • Provide proactive production support for MicroStrategy and other BI/Analytics applications. This includes monitoring usage patterns and recommending improvements
73

Data Analysis Engineer Resume Examples & Samples

  • Combine the business characteristics, explore and establish the analysis point
  • Collaborate with related teams to model data and drive data operations in business
  • Bachelor 's degree or above, 2 - 3 years of data analysis work experience,
  • Good statistical knowledge on statistics, mathematics
  • Industrial background is preferred
  • Experience on dirty data processing(transforming,extract,load) etc
  • Experience on data analysis automation, intelligence and visualization
  • Experience on data analysis and data mining skills and tools
  • Familiar with the data analysis process and good presentation skills
  • Good written and oral English skills
74

Big Data Analysis Intern, Suzhou, HSM, SPS Resume Examples & Samples

  • Collect the effective Raw data from CP/S, SAP and Suzhou QAD
  • By editing the relative program , do Analysis for collecting data
  • Find opportunities of improvement from Data
  • Work with Suzhou order processor team and CP/S super user to ensure the opportunity can be implemented
  • Improve internal customer (regions) for reporting productivity
  • Bachelor’s degree or above in Automation, Computer or related
  • Good communication skills and teamwork
  • Good at both oral and written English
  • Familiar with SAP in planning and orders process models
  • Learning new technology quickly and apply to work task
  • Be able to commit 3 above continuous working days per week from Apr. 2017 to January 2018
75

Employee Payables Data Analysis Specialist Resume Examples & Samples

  • 2+ years of experience in accounting or working with accounts payables
  • Experience with Microsoft Office, including Excel, Access, and Word
  • Ability to work effectively and efficiently both independently and as part of a team and take on new tasks
  • Ability to learn and use multiple systems
  • Ability to be detail–oriented and highly accurate
  • Ability to drive process improvements
  • Possession of excellent analytical, problem–solving, and organizational skills
  • BA or BS degree in Accounting or Finance
76

VP / Group Director, Data & Analysis Resume Examples & Samples

  • Define the scope and approach of strategic projects for clients
  • Serve as key DigitasLBi thought leader in aligning digital strategy and eBusiness transformation with a client’s broader business goals and objectives
  • Direct ongoing client relationships to exceed expectations and strengthen relationship
  • Lead thorough responses to client strategic issues. Topics may include enterprise-wide interactive strategy, strategic budgeting decisions, competitive assessments, technology points of view, and business case analyses
  • Develop framework for all aspects of digital Marketing, including variety of strategies
  • Prospect, qualify and close major DNA new business opportunities. Make significant contributions to and establish relationships with prospective clients, increasing DigitasLBi’s potential for business
  • Interact with general managers to coordinate resources across offices and projects
  • Coordinate with Creative, User Experience, Technology, Media Planning and Project Management
  • Provide methodological support, coaching, training and advice to S&A staff on multiple client and internal assignments
  • Codify and publish formal frameworks and methodologies for approaching major strategic issues, both leveraging existing DigitasLBi intellectual capital and developing innovative concepts
77

Data Analysis Manager Resume Examples & Samples

  • Working with product, sales and marketing teams, analyze and segment current Neustar customer base using common reference information such as Hoover’s, Dun & Bradstreet, Alexa rankings, Internet Retailer, etc
  • Analyze sales trends & patterns to determine highest propensity segments
  • Utilize market data to determine opportunity sizing and to segment by geography. Partner with sales & sales operations to enable sales coverage model and territory planning
  • Through customer & parent/subsidiary analysis, determine where opportunities for cross-sell/upsell exist. Partner with marketing team to build campaign strategies from opportunity analysis
  • Extend analysis to marketing & sales systems such as Marketo and Salesforce.com, to enable and enhance targeting & measurement against identified opportunities
  • Work with contract management and/or financial management teams to leverage customer transactional records and licensing records for analysis
  • Work with Marketing Automation team to improve the quality of data in our marketing automation platform and CRM system; collaborate with sales and marketing teams to ensure required data is captured at all customer touch points
  • Collaborate with the marketing automation team on enhancing and troubleshooting issues with the lead management and CRM platforms, processes and integrations with marketing automation platforms and third party tools
78

Senior Data Analysis Technician Resume Examples & Samples

  • Receives, processes, analyzes, and reports data with accuracy
  • Researches with knowledge of DoD directives or regulations, policies, and guidelines for making Distribution Statements on technical documents related to technical data configuration
  • Reviews and conducts assessments on new and revised data to ensure compliance with Government support agreement requirements
  • Technical data is both accepted and disseminated via multiple media in multiple data formats
  • Ensures technical data is complete and tracks data deficiencies to verify the completeness and accuracy of the data before release
  • Routinely interfaces with customers, managers and technical representatives in fulfilling all technical information responsibilities for technical data
  • Participates in internal/cross-team meetings, requirements gathering, scoping, decision making and technical documentation
  • Interacts with customers to understand and clarify requirements
  • Collaborates with the user experience team to assist in designing intuitive user interfaces
  • Captures the existing business processes and relates the business requirements in light of the existing business processes
  • Clearly understands usability requirements for reports with the ability to distinguish between operational and analytical reporting
  • Works closely with the technical team to ensure functional requirements are translated into technical requirements
  • Pays excellent attention to detail and possesses strong personal organizational skills and the ability to work in a fast-paced, high volume environment
  • Experience using the MS Office Suite of products is required with the main focus being MS Excel
  • Experience with LMP, AESIP, GCSS-Army and LIW is a plus
79

Development Engineer Data Analysis Resume Examples & Samples

  • At least a BSc in Mechanical Engineering, Mathematics, SW development or similar education
  • Simulink & Matlab knowledge
  • Experience of or knowledge in diesel engine technology is a plus
  • As a person you are structured and well organized. You enjoy working in teams and have the ability to work with several parallel tasks and functions
  • Proficient in the English and Swedish language
  • Driver’s license
80

Data Analysis Intern Resume Examples & Samples

  • Conducting data analysis of manufacturing errors
  • Determining root causes
  • Participating in a team based definition/discussion of how to solve the root causes
  • Improving process to reduce errors to drive increased manufacturing quality
  • Verifying the effectiveness of the process
81

Business Functional Analyst Data Analysis Resume Examples & Samples

  • Analysing data feeds and identifying data quality issues such as data coverage, inconsistencies, accuracy, etc
  • Presenting data quality findings clearly to internal team members as well as business stakeholders
  • Making recommendations on strategic data feeds
  • Liaising with up-stream data providers to agree data fixes or agree interface specifications
  • Analysing requirements, writing test cases and creating test data under the supervision of the Test Lead
  • Conducting testing activities, analysing and recording test results, recording defects
  • Re-testing corrections to ensure problems are resolved
  • Hands on data analysis skills
  • Understanding of the full software development lifecycle
  • Previous experience working with off-shore teams and delivering interface specifications
  • Performance and productivity oriented to drive toward quality testing outcomes and results
  • Ability to work effectively with all levels of clients and IT stakeholders up to and including Managing Director
  • Excellent communications skills – both written and verbal, with technical and non-technical audiences
  • Systems skills, including SQL and desktop data analysis tools such as Excel
  • Data modelling / warehousing experience (beneficial)
  • Knowledge of financial products (beneficial)
  • Educated to Bachelor’s Degree with a concentration in Business, Economics or Computer Science (or equivalent qualification / work experience)
  • Able to work with remote stakeholders and team members
  • Occasionally able to travel to other locations
82

Associate Director Data & Analysis Resume Examples & Samples

  • Developing conceptual frameworks for client strategies and serving as a key collaborator in developing effective relationship-marketing capabilities
  • Acting as point person for internal, cross-capability teams and as liaison with the client Developing business within the context of existing client project work, defining recommended approach and scope, and managing execution of strategy-planning projects
  • Contributing to strategic intellectual capital for clients, expanding formal methodologies for approaching major strategic issues and leveraging existing Digitas intellectual capital and concepts
  • Aligning marketing productivity with broader business goals and objectives, serving as a partner to the account team
  • Developing and presenting new business proposals to existing and new clients
  • Building a team environment amongst account staff and other capabilities, and participating in hiring of new employees
  • A four-year college degree (statistics, economics, finance, or marketing focus preferred) and, ideally, a Master’s degree
  • 7 to 9 years of proven leadership in marketing consulting, advertising, or interactive Strong understanding of the digital environment – and expertise in aligning marketing strategies with business needs
  • In-depth knowledge of integrated marketing and CRM disciplines (including primary research, segmentation, targeting, direct marketing, and customer care) – you know this world by heart and you keep pulse with the rapid changes happening within it
  • Strong client-relationship skills and experience managing multiple projects across internal teams
  • Exceptional communication skills – you’re skilled at interpreting client objectives and clearly articulating proposed strategies and recommendations
  • Willingness to travel as needed – you’re open to new places, new faces and new ideas
83

Data Analysis Manager Resume Examples & Samples

  • Demonstrated skills in data management and data architecture
  • A proven track record of developing and maintaining ETL systems that include data quality controls
  • Experience in database and development languages, including SQL, C#/ C++, and Python
  • Experience managing diverse stakeholders in a fast-paced environment
  • Strong problem-solving skills and a solution-oriented mindset
  • Expertise in managing and inspiring highly skilled data management professionals
84

Data Analysis Manager Resume Examples & Samples

  • Demonstrated skills in applications development using languages such as C#/C++, Python, etc. and experience using business intelligence tools
  • Experience leading data-intensive applications development using traditional and Agile methodologies
  • Experience developing data visualizations for a diverse set of stakeholders
  • Expertise in managing and inspiring highly skilled developers and business analysts
85

Hlth Data Analysis Assoc Resume Examples & Samples

  • Under direct supervision, provides support for report development team for validation, testing, documentation and discrete tasks
  • Builds analyses per specs provided by upper level Health Data Analyst, supervisor or manager
  • Creates and distributes routine reports for various departments. Assesses the validity, accuracy, completeness and reliability of data collected and reported
  • Ad hoc queries as requested
  • Requires a BA/BS in mathematics, actuarial science, computer science, public health, health services research or business
  • MS Office, esp. Excel and Access, SQL Server, SAS
  • Must be able to use programs and scripts developed by others
  • Typically requires no experience or training
86

Manager Data Analysis Resume Examples & Samples

  • Experience in working across functional and organizational boundaries
  • Experience in business case development
  • Experience in spend analytics
  • Experience in operational analysis
  • Experience in preparing and delivering presentations
  • Experience in using Microsoft Office applications (e.g., Excel, Word, PowerPoint, Access & Visio)
  • Demonstrated knowledge of Rosslyn and Gartner Analytics
  • Experience in procurement
87

Analyst, Data & Analysis Resume Examples & Samples

  • Developing smart, compelling client presentations
  • 1–3 years of business experience in management consulting, advertising, or interactive consulting
  • Strong familiarity with the digital environment
  • Solid quantitative and research skills and proven data interpretation capabilities
88

Data Analysis & Warranty Claims Management Team Lead Resume Examples & Samples

  • Management and development of the team
  • Communication and negotiation with the client on a daily basis
  • Change management process for the tools’ development
  • Ensuring highest level of service is delivered to client while keeping conditions of the contract
  • Bringing innovative ideas to the processes, making them better and more efficient
89

Specialist Data Analysis Resume Examples & Samples

  • Apply innovative data wrangling and analysis techniques to identify and collate data
  • Confidently present ideas, results and recommendations to internal stakeholders
  • Work collaboratively within the larger data analytics team
  • Keep up-to-date with latest trends and best practices in Data Analysis
  • Mining experience
  • Systems Dynamics (Vensim , Stella)
  • Data Wrangling (Python, SQL)
  • Data Visualization
  • Descriptive Modeling
  • Database integration skills
90

Data Analysis Manager Resume Examples & Samples

  • Data collection, evaluation, analysis, interpretation of relevant data for process improvements, validation and qualification of data independently
  • Support other departments (e.g. Quality, Production) by providing the necessary scientific data for monitoring and trending of strategic and established products (e.g. protocols, reports)
  • Ensure that all activities in the area of responsibility comply with company SOPs, current GMPs/GDPs, and other external regulatory requirements
  • Implement new regulatory monitoring requirements (e.g. continuous process verification)
  • Provide expert knowledge input to all ongoing projects, transfer activities and risk assessments
91

Senior Manager of Data Analysis Resume Examples & Samples

  • Bachelor’s degree in data related field
  • 8+ years of data analysis experience, preferably in healthcare or managed care
  • Master’s degree in data related field, statistics, mathematics, etc
  • Cost containment Analytics
  • Understanding of healthcare, Healthcare Reporting, Fraud, Waste and Abuseand Quality
92

Director, Data Analysis Resume Examples & Samples

  • Initiate and lead company wide data processes improvements
  • Lead cross functional activities related to large-scale analytic projects to deliver on schedule, within budget and with superior quality
  • Develop and lead activities to accomplish overall strategic department goals and lead the communication of these goals to stakeholders at all levels of the organization
  • Lead system/tool implementation and design as needed
  • Master’s Degree in, Business, Mathematics or Health Science preferred
  • Act as liaison/analyst manager for internal stakeholders, understand their needs and translate them into reporting and analytic solutions
  • Analyze issues using enrollment, utilization, clinical, medical management, financial and other corporate data, and information from both modeled internal data as well as disparate internal and external sources
  • Expert in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core/business products
  • Work with departmental staff to identify requirements for reporting and / or business intelligence tools
  • Leverage advanced statistical analysis methods to create insightful recommendations and conclusions that you effectively communicate to your stakeholders
  • Prepare clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication
  • Delegating or providing direction and feedback to staff when appropriate
  • Help identify and understand data from internal and external sources for competitive, scenario and performance analyses, and financial modeling to gain member/provider insight into new and existing processes and business opportunities
  • Strong Supervisory experience
  • Able to demonstrate the ability to conduct qualitative and quantitative research and to analyze data in order to produce publications
  • Ability to effectively organize and manage multiple assignments with challenging timelines while maintaining high standards
  • Good understanding of experiment design: Control vs variations, factorial experiment design, multivariate experiments, simple random sampling vs stratified, etc
93

Manager of Data Analysis & Insights Resume Examples & Samples

  • Experience in data mining and developing insightful analysis highly preferred
  • Ability to quickly and seamlessly turn around ad-hoc / custom population Portfolio and Campaign Performance Tracking
  • Translate the strategy roadmap into well-defined actionable outcomes
  • Experience in Developing automated performance tracking and reporting systems
  • Detailed knowledge of all International Consumer Data Sources and Systems
  • Intellectual Curiosity
  • Technical experience of 5+ years, programming with SAS, SQL and IDN preferred
  • Self-starter and motivated with high degree of accountability
  • Degree in Decision Science, MBA or related field is desired
94

Director of Data Analysis & Achievement Resume Examples & Samples

  • Bachelor’s degree from an accredited institution with a focus in Business or Education preferred
  • Proven success in an entrepreneurial environment
  • Proven success as a School Leader/principal
  • Excellent attention to detail and a high level of accuracy required
  • Excellent leadership and management skills required; the ability to motivate, educate, coach, and inspire both internal and external audiences
  • Ability to plan, make decisions, and execute based on unforeseen, future circumstances
  • Strong work ethic coupled with an enthusiastic and passionate approach to work
  • Articulate, professional demeanor with strong self-confidence and initiative
  • Excellent interpersonal skills; Ability to function as both a catalyst and a coach, guiding people at all levels of the organization by utilizing a facilitative approach that results in advancing the learning and development of others
  • Ability to clearly articulate and sell a vision, outline and detail a project plan, and follow up the articulations and outlines with thorough execution
  • Public speaking
  • Proven writing, verbal communication, and presentation skills
  • Strong typing skills are required
  • Proficiency in Microsoft Office applications (Word, Excel, Outlook, and PowerPoint)
  • Proficiency using computers, printers, copy machines, and fax machines
  • Commitment to the mission and vision of KIPP Houston
95

Data Analysis Intern Resume Examples & Samples

  • Prepares KPI (key performance indicator) analysis and reports using excel formulas
  • Uses aggregate and comparative data to identify opportunities
  • Audits for accuracy and resolves discrepancies
  • Maintains records and reports and updates as changes occur
  • Work is complete, accurate, and reliable. Spreadsheets and other analytical materials contain minimal errors
  • Provides follow-up analysis to confirm: trend analysis and justifications for spikes in data
  • Prepares all supporting worksheets
  • Handles multiple, multi-disciplinary assignments at any one time
  • Works independently and responsibly in meeting deadlines and setting priorities
  • Updates project status report on standard basis
  • Demonstrates ability to respond quickly and appropriately to the needs as identified
  • Demonstrates good communication skills in interaction with co-workers
  • Develops positive interpersonal relationships
  • Works effectively as a team member
  • Effectively communicates project analysis options to team members
96

Data Analysis Senior Manager Resume Examples & Samples

  • Own end-to-end analytics projects: work with business stakeholders to formulate questions, source and analyze data, and translate your findings into actionable recommendations
  • Partner with Renewals, Customer Intelligence, and Global Success teams to understand our customers and guide successful engagements and customer success
  • Develop strong understanding of business partner goals, processes, KPI's and factors that impact them through detailed data analysis and partnership with executives and SME's
  • Optimize tests, create and build new KPIs, and understand the broader impact of product changes on the user lifecycle
  • Manage offshore teams to create and automate reports that you use for analysis
  • Derive data insights by analyzing data and understanding business processes
  • Present compelling insights to senior leadership (via email or presentation), acting as a trusted advisor to Customer Success, Industry and Product leadership as to what is impacting their business and how best to address the challenges
  • Update the organization on analysis, project status, challenges, and required action items
  • Apply critical communication skills to ensure your analyses and insights are understood and appropriately utilized
  • Build reports that show objective improvement based on implemented recommendations
97

Associate Business Data Analysis Resume Examples & Samples

  • Leads planning sessions with clients and team members to solicit business requirements
  • Responsible for writing business requirements. Obtain signoff from business partners, and develop test cases
  • Will serve as point of contact with business partners and communicates project plans, resource estimates and performs status reporting
  • Coordinates testing of reporting solutions, reinforcing use of testing principles and processes
  • Analytical thinking and problem solving abilities and ability to manage multiple projects and customer expectations
  • Ability to work independently on multiple projects with varying levels of priority
  • Work and collaborate closely with our IT counterparts
  • Involved in the creation of use cases with the business, verification of data, business training, and educate business partners on impacts of development decisions and data issues
  • Ability to adapt to change and willing to learn and develop new skill sets as applicable
  • Ability to work and communicate effectively with both business and technical communities
  • Ability to network and influence across the organization at all levels
  • Effective self-starter with a can-do attitude who takes ownership and accountability for project deliverables with a demonstrated ability to multitask
  • A desired cumulative GPA of 3.0 or higher (out of 4.0 scale or equivalent) at the time of graduation
  • Desire candidates with prior Data Analysis and/or Data Engineer competencies
98

Manager, Data & Analysis Resume Examples & Samples

  • Maintaining functional expertise in areas like database marketing, integrated channel marketing, analytic tools and techniques, and other infrastructure
  • Offering direction and guidance to Analysts and Senior Analysts on all aspects of client deliverables
  • Developing smart and compelling client presentations
  • A four-year college education (statistics, economics, finance, or marketing focus preferred) and, ideally, a Master’s degree
  • 5–7 or more years of experience in management consulting, advertising, or interactive/technology consulting, with proven experience managing teams and projects
  • Strong project management and communication skills – you are crystal clear when it comes to delegating and providing feedback
  • Intellectual curiosity and rigorous analytical experience and a strong familiarity with the digital environment
  • Knowledge of statistical modeling techniques, segmentation, research, lifetime value, and ROI
  • Fluency with Microsoft Office and proficiency in analytical tools such as SAS and SQL
99

Data Analysis Manager Resume Examples & Samples

  • Minimum 7 years’ experience in data analysis
  • Proficient in use of SQL server
  • Expert knowledge of Tableau or similar data visualization tools
  • Expert knowledge of Excel and other statistical tools such as SAS
  • Extensive experience with budgeting and forecasting
  • Extensive knowledge of marketing and web analytics including Google Analytics
  • Proficiency in SSIS is preferred
  • Knowledge of multi-touch attribution and predictive modeling principles
  • Effectively multi-task with planning and efficiency
  • Strong email marketing analysis capability
100

Data Analysis Specialist Resume Examples & Samples

  • One (1) year of database experience
  • Must be able to communicate effectively to staff and payer representatives
  • The ability to work with minimum supervision, set work priorities and function as a self-starter
  • Must be CPR, ProAct or CPI and First Aid certified on date of employment or within 60 days of employment and maintain current certification throughout employment ? If position requires CPR, ProAct or CPI and First Aid, must receive training within 30 days of employment and remain All opportunities at Telecare are contingent upon successful completion and receipt of acceptable results of the applicable post-offer physical examination, 2-step PPD test for tuberculosis, acceptable criminal background clearances, excluded party sanctions, and degree or license verification. If the position requires driving, valid driver license, a motor vehicle clearance and proof of auto insurance is required at time of employment and must be maintained throughout employment. Additional regulatory, contractual or local requirements may apply
  • Demonstrate the Telecare mission, purpose, values and beliefs in everyday language
  • Performs tasks correctly and according to policies and procedures
  • Oversees that data is collected accurately and on time
  • Ensures that clinical staff understands the significance of inputting key data accurately
  • Verifies accuracy of data
  • Ensures that client information, enrollment, disenrollment, eligibility information, outcome data, billing and diagnosis reconciliation and other pertinent information is input within specified time limits
  • Interfaces with payer staff and confirms that all data procedures are completed according to payer specifications and directions
  • Monitors and assures compliance with the payer’s Deliverable requirements
  • Creates and runs reports to confirm accuracy of data and makes corrections timely, according to payer instructions
  • Participates in all payer trainings and meetings to stay up-to-date on all changes and revisions to system
  • Uses the outcomes data to promote program improvement, focus on positive outcomes for the members
  • Performs computer interface (uploads) of data to Corporate office
  • Oversees the Relias system by entering, tracking and reporting employee compliance to Administrator
  • Attends payer training meetings
  • Completed Quarterly and Annual Training Audits and submits Annual Training plan to the payer and Administrator to assure at least 95% compliance to avoid sanctions
  • Administrative duties including but not limited to: taking of Meeting Minutes, all licensing applications along with updates and filing timely
  • Necessary skills include the ability to type and make forms and knowledge of computers, Word, Excel, Outlook, data reports, spreadsheets, word processing and database software
101

Associate Data Analysis Resume Examples & Samples

  • Extract data from firmwide systems and tools, and prepare data for analysis / reporting
  • Completion of key deliverables ensuring adherence to agreed timelines and SLAs
  • Develop scalable data preparation, maintenance, and reporting procedures that can be leveraged by business units and functional areas across the firm
  • Implement data evaluation techniques aimed at measuring business risks and control issues
  • Use data from both internal and external sources to conduct data assessments in a timely manner
  • Develop re-usable tools that can be leveraged by business units across the firm
  • Perform data deep dives as needed using various techniques such as machine learning and text mining
  • Collaborate with business managers and developers to integrate the results with existing systems
  • Comply with JPMC procedures and QA best practices to ensure the quality of data, models and outputs
  • Stay abreast of new tools and technologies to practice up-to-date data evaluation strategies
  • Collaborate with stakeholders across the firm to integrate results with existing systems and processes
102

Data Analysis Resume Examples & Samples

  • Lead team to build tools to streamline operational risk control processes
  • Lead team to build ad hoc / routine risk identification alerts, data analysis on operational risks, regulatory breach, non-compliant behavior upon requests raised from regulators / internal quality assurance
  • Lead team to work with T&O Functional Operations team, other business partners and IT to drive cross-departments data analysis / alerts building, and conduct monitoring and management reporting on escalations for subsequent follow up
  • Lead team to develop management reports on operational risk analysis and improvement advices
  • Lead team to develop operational quality management model through data analysis (develop digitalized quality management framework, model and operation)
103

Data Analysis & Visualization Specialist Resume Examples & Samples

  • 3+ years of related work experience within the Railroad industry
  • 3+ years of Senior Business Intelligence level role in Analytics, Business Intelligence or Dashboards experience
  • Ability to be detail-oriented, self-motivated, and an excellent, creative problem-solver, with proven ability to successfully manage multiple disparate streams of work in a challenging, dynamic environment
  • Experience with the Software Development Life Cycle and ETL Processes. Technical expertise regarding data mining, database design development, data modelling, data governance and unit testing
  • Ability to analyze, identify, extract, translate and transform business requirements into data points. Document data requirements, definitions, data dependencies and relevant business rules through various methods including independent data analysis and group discussions
  • Strong interpersonal and consultative skills to translate and understand reporting requirements. Ability to work as part of a team, as well as work independently or with minimal direction
  • Collaborate and work closely with Business analyst, System and Cloud data architects, ETL Integration specialists and Power BI dashboard development team to develop source to target technical mapping document
  • Proficient in data transformation, consolidating data from multiple disparate sources, develop process workflows and wireframe sketches to help business design effective dashboard solutions
  • Design and develop data models using Erwin Data Modeler and apply best practices for optimum performance of the models
  • Excellent communication and presentation skills and must possess exceptional ability to work well with individuals and teams at all levels, across all division’s
  • Proficiency in developing creative Power point visual presentations to effectively communicate and articulate the value of analytic deliverables
  • Demonstrate solid organizational and time management skills with ability to perform detailed tasks with high degree of accuracy and work and perform under pressure
  • Document project specific processes and data flows, data dependencies, data definitions and relevant business rules. Establish data dictionaries to support the buildout of a data governance infrastructure
  • Leverage industry best practices in establishing repeatable BI practices, principles & processes SSIS, SSRS
  • Advanced Knowledge of Microsoft Word
  • Advanced Knowledge of Microsoft Excel
  • Advanced Knowledge of Microsoft PowerPoint
  • Business Intelligence Knowledge: Tableaus
  • Windows/Linux Server environment
  • Keyboard Skills (Typing, data entry, etc.)
  • Microsoft Windows/Linux
  • Physical and Virtual Business Warehouse Solutions
  • SAP BW
  • Power BI
104

Data Analysis Internship Technical Service Resume Examples & Samples

  • Enrollment in a BS, MS or PhD degree program with a focus on data analysis, mathematics, statistical programming, or computer science
  • Preferred coursework includes: Data Querying and Reporting, Data Access and Management, Data Visualization, Data Cleaning, Data Mining, Statistical Analysis of Databases,
  • Minimum 3.0 GPA (PLEASE INCLUDE GPA ON RESUME)
105

Senior Manager, Data Analysis Resume Examples & Samples

  • Ability to perform financial and operational modeling, forecasting and analysis to identify and deliver strategies to drive Strategic Sourcing program and operational efficiencies
  • Analyzes Supply Chain performance metrics, trends & standards and defines, develops and delivers appropriate improvement and sustainability strategies and programs to improve performance
  • Develops the planning, organization, implementation and monitoring of management processes, tools, risk, issues, opportunity management
  • Presents recommendations for operational efficiencies and process improvements and assists in policy development to support change initiatives
  • Facilitates meetings and presentations to executive leadership
  • Create, compile, and maintain the sourcing savings scorecards for current and future LRP years. Preview scorecards monthly with internal and external stakeholders for alignment. Socialize scorecards during quarterly forecast cycle prior to opening of planning window to ensure full alignment and coordination with key financial stakeholders
  • Provide budget adjustment file with sourcing's budget movements based on quarter's sourcing scorecard and events for progress to targets. File will be provided to corporate financial planning to be loaded into the financial system
  • Lead in the baseline and savings integrations including identification of key stakeholders, compilation of tracking database, managing documentation, verification of budget/project codes and reporting any issues/risk and escalations through the proper channels
106

Manager, Data Analysis & Forecasting Resume Examples & Samples

  • Lead monthly forecast process. Use business knowledge and rational analysis to influence sales leaders and other stakeholders on how to accurately forecast performance
  • Develops annual sales budgets
  • Expertly writes SQL queries and performs ad hoc analysis against large databases
  • Prepare, analyze, and distribute recurring and ad hoc reporting/analysis
  • Prepare and ensure timely and accurate load of Sales Channel Connect forecasts and budgets
  • Provide analysis to evaluate/validate Sales Channel connect forecasts, budgets, and targets
  • Works independently to come up with rational and defendable approaches to solve analytical problems
  • Able to work with other organizations to reconcile differences in approach and drive common understanding
  • Lead and participate in the creation of analytic/tracking reports to help provide insight, measurement and sales strategy
  • Benchmark sales channel performance across sales representatives, regions, and divisions with a focus on identifying best practices and areas of opportunity
  • Occasional travel to other office locations
  • Tracks and manages marketing expenses in order to ensure that they are within budget parameters
  • Manages local promotions and event marketing; coordinates with direct sales staff
  • Translates business needs into analysis designs providing insight, knowledge, and understanding of customers, products, and industries
  • Develops and maintains demographic and other market data as needed in order to support marketing goals
  • Gathers and communicates marketing campaign information and subscriber feedback in order to promote a common understanding of marketing campaigns, changes, and issues
  • Analyzes subscriber numbers and packages and revenue to determine performance compared to budget
  • Develops financial models in designing packaging and pricing to ensure competitive position in market
  • Creates reporting to measure success of marketing programs
  • Assists with maintaining and improving ongoing marketing programs, analyses, and reports
  • Develops new ideas and communicates potential uses for analytics across the business
107

Hlth Data Analysis Int Resume Examples & Samples

  • Mastery of Associate level responsibilities
  • Under general supervision, writes reports and presents data in formats such as abstracts, graphs or summaries
  • Develops technical specs and develops and executes a work plan for uncomplicated analyses
  • Prepares documents, correspondence and other communication materials to convey information to appropriate audiences within Blue Shield
  • Assists in the design of reports that integrate data from multiple sources, including design of reporting systems and standardization of metrics and formats across departments and functional areas
  • Enhances database systems and applications for specific reporting requirements
  • Critically reviews and revises existing applications for update and enhancement
  • Identifies systems and operational problems and recommends solutions and changes to streamline procedures for more effective reporting
  • Participates on report development teams
  • Designs and implements report programming according to business requirements and technical specifications
  • Provides advice for other team members regarding technical and analytical issues and best practices
  • Interacts with internal customers to define reporting needs and report specifications
  • Assesses the validity, accuracy, completeness and reliability of data collected and reported
  • Develops and conducts evaluations and studies within limited time frames and produces analyses that are easy for non-technical persons to understand
  • Ad hoc analysis as requested
  • Typically has 1-3 years related experience and/or training; or equivalent combination of education and experience in an academic setting
108

Hlth Data Analysis Cons / Lead Resume Examples & Samples

  • Coordinate the implementation of risk adjustment programs between BSC and Care1st
  • Lead vendor management efforts around member engagement and provider outreach
  • Ability to synthesize different pieces of information, and effectively communicate that information
  • Develops and produces timely and actionable reporting for internal and/or external use
  • Knowledgeable about healthcare-related governmental regulations, procedures, and requirements. Continuous learning as additional information is released
  • Special Projects as requested
  • VBA programming knowledge preferred
  • Healthcare Enrollment and Claims processing experience
109

Manager, Data Analysis Resume Examples & Samples

  • Manages and develops staff, including monitoring and measuring department and staff objectives
  • Develops, designs, monitors and enhances business metrics and/or financial results to ensure alignment with short and long term business objectives
  • Provides direction on quality, productivity and process improvements
  • Ensures timeliness, accuracy, attention to detail and documentation of analysis
  • Ensures financial data is meeting regulatory requirements
  • Solicits feedback from users and other Progressive disciplines to create a best practices approach
  • Recommends and approves data tools for management use
  • Presents reports, graphs and charts of data developed
  • Implements process improvements and/or goal changes
  • Extra hours may be required during business peaks or to meet seasonal deadlines
  • Occasional Travel
110

Data Analysis Manager Resume Examples & Samples

  • Ability to establish goals, objectives and plans for the unit
  • Ability to motivate staff and evaluate performance
  • Ability to plan resources to address workload needs, set priorities and report unit activity
  • Ability to develop, administer, and control a budget
  • Ability to administer compensation and other corporate polices
  • Ability to recruit and develop staff
  • Ability to effectively work independently and as a member of a team
111

Data Analysis Lead Resume Examples & Samples

  • All aspects of processing and delivery of both internal and external client reports/deliverables according to schedule
  • All aspects of design, development and maintenance of product metrics
  • Quality assurance of both process and data
  • Strong problem solving and decision-making skills
  • Ability to think conceptually and analytically
  • NPD is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION employer