Data Analyst, Senior Resume Samples

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AS
A Sawayn
Alison
Sawayn
54605 Drake Park
Chicago
IL
+1 (555) 874 0845
54605 Drake Park
Chicago
IL
Phone
p +1 (555) 874 0845
Experience Experience
New York, NY
Data Analyst Senior
New York, NY
Gleichner-Feest
New York, NY
Data Analyst Senior
  • Assist assigned Platforms and projects to understand financial reports and take positive action based on them
  • Performs other duties as assigned
  • Work with IT Control and Platform management to document, review and continually improve all aspects of the financial operations cycle as it relates to Platforms and projects
  • Designs and/or develops specific databases for collection, tracking, and reporting of research data
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Provides analysis and reporting of trends
  • Ensures data integrity; develops and produces reports utilized in measuring data accuracy
Chicago, IL
Data Analyst, Senior
Chicago, IL
Bode LLC
Chicago, IL
Data Analyst, Senior
  • Works with Libraries and UA Press data owners to develop and track unit-specific performance metrics to improve services
  • Administer and provide technical support on the Group's audit work paper platform, TeamMate
  • Creates, tests, and maintains dashboards, reports and other analytical data tools using the UA enterprise data warehouse
  • Performing analyses to support key business initiatives
  • Responsible for providing development and technical support on the key applications for the Inspection Group as well as acting as the primary technology liaison for the Inspection Group with the Bank and BNPP Inspection Generale (IG)
  • Communicate effectively, clearly, concisely, and accurately using written and verbal communications with all levels of management
  • Plans, designs, and creates written documentation related to assignments, such as problem identification/tracking; progress reports; proposed and implemented solutions; and metadata
present
Detroit, MI
Data Analyst / Senior
Detroit, MI
Hilll, Paucek and Stracke
present
Detroit, MI
Data Analyst / Senior
present
  • Internal Consultant - Act as a company-wide consultant leveraging advanced analytics and complex science models to solve business problems
  • Strategic Partner - Engage in projects that drive value/improve business efficiencies, or guide strategy development
  • Determine Your Success - Manage and prioritize multiple tasks independently in a fast-paced environment
  • Knowledge of statistical methods, forecasting and modeling
  • Proficiency in acquiring, organizing, cleansing and manipulating large amounts of data
  • Determine Your Success- Manage and prioritize multiple tasks independently in a fast-paced environment
  • Develops and maintains operational metrics and reporting, creating and maintaining metric definitions and working internally and cross-functionally to ensure consistent use of metrics
Education Education
Bachelor’s Degree in Business
Bachelor’s Degree in Business
Webster University
Bachelor’s Degree in Business
Skills Skills
  • Ability to obtain a security clearance
  • Ability to perform genetic analysis
  • Ability to perform complex statistics or biostatistics, data mining, database management, and computer programming (e.g., SAS, R, Unix)
  • Proven ability to work well in collaborative environment
  • Excellent quantitative and organizational skills
  • Excellent organizational skills
  • Excellent written and verbal communication skills
  • Knowledge of bioinformatics data analysis pipelines to implement research projects
  • Advanced knowledge of statistical analysis approaches (e.g., linear and logistic regression; longitudinal analyses)
  • 3+ years of experience with data profiling tools such as SAP Business Objects Data Services
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15 Data Analyst, Senior resume templates

1

Data Analyst, Senior Resume Examples & Samples

  • Responsible for providing development and technical support on the key applications for the Inspection Group as well as acting as the primary technology liaison for the Inspection Group with the Bank and BNPP Inspection Generale (IG)
  • Provide primary development and maintenance support on the key applications used by the Inspection Group, which includes VisualBasic for MS-Access and MS-Excel applications
  • Administer and provide technical support on the Group's audit work paper platform, TeamMate
  • Provide local technical support for BNPP IG applications, such as ARCH, ECHONet, MIIR, myRecos, myActivity, UNIK
  • Prepare ad-hoc reporting from the above applications and databases
  • Support the data/information requests from regulators
  • Bachelor’s degree required
  • Very good knowledge of the following
  • Control and disclosure systems
  • Accounting
  • Auditing
  • EDP general controls
  • Plus specialized knowledge covering assigned(s) of responsibility
  • Personal computer, word processing and spreadsheet
  • Supervising
  • Analytical and conceptual
  • Training
  • Planning, organizing, directing and controlling
2

Data Analyst / Senior Data Analyst Resume Examples & Samples

  • Strong problem solving and analytical skill
  • Must be able to network across a global organization, utilizing internal resources to resolve project hurdles
  • Ability to manage various processes and projects with accuracy and consistency
  • Ability to elicit cooperation from a wide variety of sources, including external vendor relationships as well as internal resources
  • Exceptional written, verbal and presentation communication skills
  • Adaptability and high stress tolerance
  • Bachelor's degree in Business Administration, Finance or Technology related field required
3

Data Analyst, Senior Resume Examples & Samples

  • Proficient in MS Word, Excel, Access, PowerPoint, XML and SQL (Powerinsight, Discern Explorer preferred)
  • Knowledge of statistics and able to communicate effectively with statisticians
  • Experience in data mining techniques and procedures and knowing when to use appropriately
4

Public Sector Data Analyst Senior Associate Resume Examples & Samples

  • Statistical Analysis and Techniques
  • Visualization techniques and tools
  • Applicable sources of external, internal or new data sources to support analytic methods and visualization techniques
5

Risk Data Analyst Senior Resume Examples & Samples

  • 3-5 years’ data mining and/or data analysis experience gained through a combination of education and work experience
  • Bachelor's degree required, with emphasis in one of the following disciplines: Information Systems, Computer Science, Finance, Economics, Statistics, Mathematics, Business Administration, Accounting or related analytical discipline
  • Professional certification or satisfactory progress relating to auditing information systems, security, or relational database is preferred (i.e. CISA, CISSP, CIA, CCP, CPA, CFE, Oracle DBA, SQL DBA, etc.)
  • Well-versed in the current analytics software, languages, techniques, and technology, with an understanding of when to use each
  • Experience designing and developing data cleansing routines utilizing data quality functions involving standardization, transformation, rationalization, linking and matching
  • Proficiency in Python, R, SAS or another statistical modeling and data analysis package
  • Excellent data manipulation skills, namely SQL, Python/Pandas or other scripting language
  • Understanding of statistical analysis and standard methods
  • Strong Excel skills including pivot tables, vlookup
  • Financial audit experience and accounting background a big plus
  • Understanding of internal control systems and related standards
  • Experience using audit CAAT tools including IDEA and/or ACL
  • Hands-on Tableau experience
  • Knowledge of IT audit principles
  • Database development experience including SQL and PL/SQL
6

Data Analyst Senior Resume Examples & Samples

  • Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree in a major such as computer science, information technology, or related; OR appropriate combination of education and experience
  • 4 years functional/business/system analysis or other relevant experience required
  • Exceptional interpersonal skills, including the ability to establish and maintain effective relationships with physicians, management, staff, and other customers
  • Experience with medical data
7

Data Analyst, Senior Resume Examples & Samples

  • Must have an analytical mindset and an ability to review and interpret data quickly
  • Technical skillset: R, SQL or other tools for data compilation and analyses
  • Coding experience in any language is preferred
  • Advanced MS Excel expertise
  • 5-7 years’ experience required
  • Understanding of debit payments or debit/credit card brands preferred
  • Data analytics
  • 10% travel
8

Encounters Data Analyst, Senior Resume Examples & Samples

  • Responsible for driving resolution on Encounters issues with internal and external business partners
  • Perform technical analysis and data mining for encounter data reporting requests from internal and external customers
  • Communicate with internal and/or external business partners and vendors to obtain information and provide status updates on deliverables
  • Performs analysis of identified defects or issues through system testing and provide solutions
  • Assists in developing processes to assist vendor/provider and ancillary partners to meet WellCare submission requirements and state SLAs. Works closely with partners to ensure encounter deliverables are in compliance
  • Preferred: Bachelor's Degree in a related field
  • Preferred: 2+ years of experience in healthcare, health insurance, Medicaid, Medicare, and/or related
  • Preferred: 2+ years of experience with EDI (834, 835 and/or 837)
  • Demonstrated written communication skills
  • Demonstrated problem solving skills
  • LI-JC1
9

Business Data Analyst Senior Resume Examples & Samples

  • BA/BS required or equivalent work experience
  • Proficient with PC and Microsoft Suite
  • Experience working with Microsoft SharePoint
  • Proficient in designing and completing business analysis and drawing credible conclusions and recommendations
  • Experience working with business intelligence tools such as Tableau or Business Objects
  • Excellent research and problem solving skills
10

Data Analyst / Senior Resume Examples & Samples

  • Enables business results through compilation of recurring and ad-hoc reports and identification of trends, patterns, and variances that drive the business
  • Develops and maintains operational metrics and reporting, creating and maintaining metric definitions and working internally and cross-functionally to ensure consistent use of metrics
  • Provides timely recurring and ad-hoc reporting and analytic support to department leaders
  • Provides data based analysis, consultations, and recommendations that can drive and influence the decision making process of the senior leadership team
  • Works with management to develop best in class management tools/metrics. Reviews, analyzes and evaluates system performance for process improvement initiatives
  • Stays informed and incorporates reporting and analytics best practices from external sources
  • Understands and adhere to all Corporate Policies to include but not limited to ACI Code of Ethics and Global Information Security
  • Provides analysis and light project management for enhancements to system tools (case management tool, etc.) and internal processes to improve efficiency and effectiveness of staff. Maintains environment specific support materials
  • Acts consultatively to understand department and business and provide timely reporting and analytic support to department leaders for recurring and ad-hoc strategic decision making
  • Minimal travel may be required
  • Experience in relational database structures, Oracle Business Intelligence tool, Salesforce.com, and system testing a plus
11

Data Analyst, Senior Resume Examples & Samples

  • 2+ years of experience with enterprise data management
  • 2+ years of experience with data quality assurance and quality control
  • 2+ years of experience with Microsoft Excel advanced analysis
  • 5 years of experience with relational database management in Oracle or MSSQL
  • 2 years of experience with Oracle OBIEE Business Intelligence and Publisher
  • Experience DHS ICE/ERO data systems
  • Experience DHS ICE/ERO operations and policy
  • DHS Suitability clearance
  • MA or MS degree
12

Data Analyst, Senior Resume Examples & Samples

  • 10+ years of experience with policy evaluation, process improvement, and analytics
  • 3+ years of experience with law enforcement and immigration
  • Experience with Microsoft Office, including Project and Visio and FALCON, Palantir, and i2
  • Knowledge of relational databases, including SEVIS
  • Knowledge of immigration law and SEVP regulations
  • 3+ years of experience with intelligence analysis
  • Knowledge of DHS and ICE systems
13

Data Analyst, Senior Resume Examples & Samples

  • 5 years of experience with using data analysis techniques and administering data analysis tools
  • 5 years of experience with developing data integration strategies and data roadmaps and performing data analysis
  • Experience with the administration of SAS COTS tools focused on data quality and management capabilities
  • Experience with operating in a DoD environment
  • Experience in performing systems database administrative functions associated with the installation, maintenance, and support of system software
  • Experience with configuring and installing SAS to support data tuning, administration, and performance tuning for large data sets
  • SAS Certification
  • Security + Certification
14

Recovery Data Analyst, Senior Resume Examples & Samples

  • Analyzes contractual obligations and identifies/pursues overpayments on claims for various reasons
  • Prepares detailed analyses on mis-paid claims with complex business requirements and partners with IT resources for data pulls, analysis, and validation
  • Assists in designing and implementing relational data structures related to overpayment issue
  • Summarizes information for business partners for review and resolution and provides recommendations on recovery strategies
  • Monitors progress of overpayment projects and executes on next steps
  • Acts as team leadon large projects requiring coordination with multiple departments within and outside the company
  • Develops comprehensive and detailed analyses on erroneous payments in order to support the revenue collection and reconciliation process
  • Required A Bachelor's Degree in preferably in Management Information System
  • Required 5+ years of experience in data analysis and business criteria development Claims processing, Claims Operations or Claims recovery
  • Required No Experience
  • Advanced Demonstrated interpersonal/verbal communication skills
  • Advanced Ability to lead/manage others
  • Advanced Other Excellent problem analysis skills
  • Advanced Other Excellent consultative skills
  • Advanced Other Excellent judgement skills
15

Data Analyst, Senior Resume Examples & Samples

  • Performing analyses to support key business initiatives
  • Reviewing and interpreting transactional data results
  • Monitoring, analyzing and reporting on daily and monthly volumes and other key metrics
  • Maintaining daily and monthly dashboard
  • Conducting financial competitive analyses, tracking industry volume shifts and performing other ad-hoc analyses as required
  • 5-7 years’ experience in Data Analytics is required
  • Previous experience in the Financial Services industry and an understanding of debit payments or debit/credit card brands preferred
  • Technical skillset R, SQL or other tools for data compilation and analyses
  • MS Excel expertise
16

Business Data Analyst Senior Resume Examples & Samples

  • Experience in data analysis, including predictive modeling and hierarchical/longitudinal analysis
  • Strong computer system skills and a capacity to create dashboard reporting systems (SQL desirable)
  • Track, collect and prepare survey data, verify data accuracy and prepare reports for the web and print media. Analyze trend data, initiate and resolve data quality issues
  • Capacity to design and administer surveys and analyze and communicate results
  • Experience with higher education learning management, data and reporting systems (e.g., PeopleSoft, Salesforce, Canvas)
  • Excellent interpersonal communication, written, and graphic presentation skills to effectively collaborate, develop, implement, and communicate data and recommendations with a wide range of stakeholders (administrators, faculty, staff, and students)
  • Strong commitment to inclusivity and diversity, and ability to interact effectively with a variety of constituent groups
  • Strong organizational and analytic skills to prioritize, take initiative, follow projects through to completion, and manage multiple tasks/projects
  • Forward-thinking, innovative, and proactive in identifying problems and implementing evidence-based improvements
  • Excellent collaborative leadership style with a strategic and creative approach to issues, and exceptional problem-solving and decision-making abilities
  • Advanced knowledge of relational databases and experience designing, maintaining and reporting from large databases and multiple tables
  • Ability to create and run basic SQL queries
  • Expertise in MS Excel data management – filtering, pivot tables, MS Query, functions
  • Knowledge of basic web based survey creation and design
  • Perform basic mathematical and statistical computations commonly required for research applications (T-tests, ANOVA, multivariate tests). Apply knowledge and experience of research design and statistical techniques
  • Collaborate with Information Technology Services to enhance the data warehouse and to develop readily available reports using various reporting tools to build capacity for data analysis and reporting
  • Coordinate training of staff in the use of data reporting tools and the appropriate reporting of data
  • Design, develop, produce and interpret internal management reports that incorporate statistical techniques and analytics on topics such as College enrollment, student retention, degrees conferred, and faculty salaries for use by administrators and managers
  • Organize and present research-based information in narrative, graphical and oral reports according to end user needs
  • Consult with staff to determine information needs, identify problems, and offer solutions
  • Provide leadership in the development, analysis, interpretation and reporting of data for the purposes of institutional research, planning, assessment, program review, accreditation and compliance
  • Directly or indirectly manage a team of people in achieving the objectives above
  • Develop and implement customer service, human resources and financial objectives for assigned department consistent with the University’s goals and objectives
  • Manage departments’ budgets, estimates budgetary requirements for special projects and oversees purchases and inventory
  • Implements and administers new and existing department programs and services to internal and external customers. Evaluates program effectiveness. May carry out and implement logistic plans and procedures to ensure that internal university and external entities’ needs are met
  • Participates in the development and interpretation of department polices to ensure compliance with the University’s policies and regulatory requirements. May authorize exceptions to department policy and procedures related to assigned departments. Ensures compliance with Federal and state regulations
  • Oversees department human resources management including recruitment, performance evaluations and retention of staff
  • Ensures customer satisfaction by analyzing customer complaints, concerns and suggestions. Provides appropriate follow through to ensure quality customer service
17

Data Analyst Senior Specialist Resume Examples & Samples

  • Execute management strategies for Operational Performance & Analyzed Solutions project portfolio, identifying areas of improvement, gathering data, conducting analysis and recommending controls or other actions to ensure accuracy of Provider data for consuming use
  • Managing multiple complex, time sensitive projects designed to deliver targeted outcomes
  • Expert/developer skills in MS Office Suite, included Excel and Access
  • Exposure to reporting tools such as Hyperion/Brio, Business Objects, SAS or COGNOS desired
  • Exposure to SQL, JavaScript and data warehousing concepts
  • Advanced degree or equivalent and at least five years of experience in related health care analytics
  • Leadership competencies with the ability to collaborate with others and establish working relationships, communicate effectively across the organization and at different levels, think and act strategically and influence key leader
  • Strong communication skills – oral, written, and interpersonal skills with the ability to work effectively within diverse groups
  • Deep healthcare data statistical analysis experience and demonstrated understanding of health care and delivery systems processes
  • Ability to successfully navigate and contribute in a highly matrix environment
  • Ability to train and lead a team
18

Data Analyst to Data Analyst Senior Resume Examples & Samples

  • Ability to formulate quantitative approaches to address business questions
  • Ability to prioritize work load, meet project deadlines & drive results
  • Ability to effectively communicate the results and insights of the analyses to all levels
  • Experience in developing business/program logic (SAS and VBA)
  • Strong team working abilities
  • Bachelor's in a quantitative discipline such as Engineering, Statistics, Economics, or Mathematics
  • For Sr level, in lieu of a degree a minimum of 7 years property casualty insurance experience with related analytical experience (e.g., analytical work in a professional setting)
  • Proven aptitude for learning and using data analysis reporting tools
  • Highly proficient in SAS and SQL programming
  • Ability to work with and maintain confidential information
19

Data Analyst to Data Analyst Senior Resume Examples & Samples

  • Bachelor's degree with an emphasis in Finance, Mathematics, Economics, Operations Research or Statistics or other related quantitative fields of study
  • A minimum of 4 years analytical work experience in a professional setting
  • Strong aptitude and interest to develop programming logic (data extraction, summarization) preferably experience with programming tools like SAS and SQL
  • Ability to prepare reports and conduct presentations with strong ability to communicate ideas and analysis results in a simple language
  • Quantitative and critical thinking skills
  • Familiarity and interest in statistical concepts
  • Annual gainshare bonus of up to 30% of your salary! Progressive rewards each of us with an annual bonus based on company performance
  • Paid training, tuition assistance and career development
  • Diverse, welcoming culture with Employee Resource Groups
  • Casual dress (yes, you can wear jeans to work!)
  • Wellness program with discounts & rewards, and onsite gym at our large locations
  • Onsite healthcare at large locations and the standard benefits (medical, dental, vision, 401k)
20

Metric & Data Analyst Senior Resume Examples & Samples

  • Preferred degree in business, mathematics, or supply chain
  • Knowledge of OneAero Systems, Applications and Processes (SAP) data constructs, primarily as it applies to Supply Chain Management, secondarily as it applies to Production Operations, Sustainment Operations, and Finance
  • An understanding of Supply Chain Management processes, as well as their integration points to other departments
21

Data Analyst, Senior Resume Examples & Samples

  • 8+ years of experience in a professional work environment
  • Experience with designing and implementing data-driven strategies for clients and with analytics in gathering and analyzing data and communicating finding
  • Experience with working on Scrum or other Agile methodology
  • Experience in working with application development tools, standards, and languages, including SQL, XML, or Web services
  • Experience with writing federal or DoD policies that affect Enterprise-wide change and applying Informatica tools to data management business practices
  • Knowledge of data management principals and best practices
  • Ability to work independently and lead tasks in formal and informal group settings
22

Data Analyst Senior Resume Examples & Samples

  • Superior SQL skills – PL/SQL or T-SQL
  • Programming experience in a data processing language – R/Python or similar
  • Statistical analysis – multivariate linear regression, logit predictive models
  • Information dashboard design & implementation – tools such as Tableau, Qlikview, Shiny, or similar
  • Web application development – HTML & CSS and an understanding of web application architecture
23

Data Analyst, Senior Resume Examples & Samples

  • Define best practice processes for data management function
  • Identify system owners, data stewards and key stakeholders for process, build relationships between groups to ensure better process outcomes
  • Collaborate with team members for issue resolution
  • Perform advanced ad hoc SQL analysis to determine results, data accuracy, and relationships between different data sets
  • Identify and document data standards, business rules and required data quality rules
  • Work with requirements and development teams to ensure that data rules applied provide needed business outcomes
  • Perform data impact assessments resulting from changes in source systems and business rules
  • Monitor the data quality exception process and escalate issues as necessary
  • Bachelor’s Degree in Computer Science, Statistics, or Business
  • 7+ years in SQL, Excel
  • 5+ years in Data Analysis, Data Management, Business Intelligence
  • 5+ years working knowledge and experience with DBMS solutions
  • SAP Business Objects
  • SAP Information Steward / Data Services
  • MS SQL Server
24

Data Analyst Senior Resume Examples & Samples

  • Provides consulting and analytic services to leadership
  • Provides technical support and mentoring and training to less senior analysts
  • Develops methodology and processes for prioritization and scheduling of projects
  • Analyzes problems and determines root causes
  • Minimum five (5) years of data analyst or related experience, including proficiency with analytical software or equivalent related education
  • Working knowledge of ICD-9 CM coding and Medicare programs if relevant to area supporting
25

Data Analyst, Senior Resume Examples & Samples

  • Must live in the Charleston, SC area or be willing to relocate
  • 5+ years of experience with one or more of the following: Data mapping, data architecture, data migration, data modeling, or database administration
  • 5+ years of experience with analysis, design, development, or management of DoD Business System
  • 5+ years of experience with database administration and development (Ex. Microsoft SQL Server or Oracle)
  • 3+ years of experience with data profiling tools such as SAP Business Objects Data Services
  • 2+ years of experience with data modeling tools such as Erwin Data Modeler
  • 3+ years of experience with developing software in Java, C, C++, or other high level languages
  • BA or BS degree in IT, Database Management, or Database Administration, or an engineering field
  • Certification as a database administrator, developer, designer, or architect or verifiable training in database administration, development, design, or architecture
26

Data Analyst, Senior Resume Examples & Samples

  • Experience with Microsoft Office Suite, including Excel for data manipulation
  • Experience with quantifying model confidence
  • Experience with eliciting and modeling information decay rates
  • Knowledge of statistical method
  • Knowledge of mathematical models that are used to inference with uncertainty, including Bayesian
  • Knowledge of operations research
  • Ability to facilitate elicitation sessions with experts and translate information into an inference model, including Bayesian Belief Networks
  • Experience with using ArcGIS for spatial analysis
  • Experience with developing applications using API functionality
  • Experience with supervised and unsupervised machine learning algorithms
27

Human Capital Data Analyst, Senior Resume Examples & Samples

  • 5 years of experience in working with government customers
  • Experience with consulting, change management, portfolio analysis, or human capital
  • Experience with briefing or presenting complex data to senior stakeholders
  • 5 years of experience in the intelligence community (IC) preferred
  • Experience with data science a plus
  • Possession of excellent organizational skills, including strict attention to detail
  • BA or BS degree in Instructional Design, Human Capital, or related field preferred
28

Metric & Data Analyst Senior Stf Resume Examples & Samples

  • Bachelor’s degree in Analytics/Data Science, Mathematics, Business Finance/Accounting, Engineering or related field
  • MBA or Masters in Data Science or Economics
  • Experience in development of complex advanced analytics solutions
  • 5 years experience in business analysis / strategic analysis
  • Demonstrated leadership capabilities
  • Highly effective and demonstrable project management and communications skills
  • Strong familiarity and demonstrated understanding of HANA, R, Tableau and other platforms
  • Experience in designing / writing functional requirements / data modeling large ($1M+) analytics efforts
  • Selection / completion in advanced leadership development programs
29

Data Analyst Senior Associate Resume Examples & Samples

  • Experience with moderate to complex SQL scripts
  • Experience with complex process data mapping that defines technical and business rules
  • Presenting complex information in an understandable and compelling manner and working with technology and business subject matter experts to document as-is and to-be processes and data requirements; and,
  • Knowledge of publishing industry or multi-channel project management and data profiling tools a plus
  • Conducting needs and impact analysis on business data requests, and defining ways to link data, processes, and systems throughout the organization to achieve optimal efficiency and align information technology with business initiatives
  • Utilizing functional and system specifications, and assisting in the creation of test plans and quality assurance procedures for the Master Data Management platform
  • Working with different stakeholder reporting requirements and knowledge of the context of the information provided
  • Supporting the Data Analytics managers in their role to onboard new data sets and systems
  • Engaging with functional and line of service staff
  • Working with offshore development teams and onshore technical support team both on the internal and vendor side of PwC's business model; and,
  • Managing time and multiple tasks
30

Department Data Analyst Senior Resume Examples & Samples

  • Manages departmental projects and serves as primary departmental contact for all reporting/data mining tasks. Defines and maintains project plan and schedules. Monitors compliance with definitions of project scope, timelines, and deliverables. Provides regular project status reports to departmental leadership
  • Assists Department Data Analysts of lower status with data needs and project coordination
  • Serves as technical lead and subject matter expert (SME) for all source data systems relevant to department operations. Shares information with department management team on a recurring or as needed basis
  • Serves as lead technical contact for relevant data points and sources systems for institutional projects/platforms (i.e. EDW, Organizational Dashboards, etc.)
  • Coordinates the data preparation and submission of documents to federal agencies, state agencies, private research funding agencies and other organizations as required by law and contractual vehicle
  • Responsible for data mapping/data architecture across department data fields and relevant source systems, utilizing process maps and Business Intelligence architecture tools
  • Leads development of education/training tools that educate team members and institutional partners on generation and/or interpretation of data, statistical analysis and application to decision making to improve organization efficiency and outcomes
31

Data Analyst Senior Resume Examples & Samples

  • Leverage data-mining and statistical tools and processes to identify, quantify and predict cost and readiness issues facing the CH-53, and to pursue root-cause of these issues
  • Contribute statistical and data-mining ability, as well as aircraft reliability, maintenance and operational knowledge to various FCOE team pursuits
  • Communicate analytical findings to NAVAIR support community on a regular basis
  • Conduct high-level briefings of FCOE capability and findings to leadership
  • Perform Ad-Hoc analyses as required
  • Ensure on-time delivery, quality, and accuracy associated with all outputs
  • Experienced with the application of statistics and data-mining in business environment (trend discovery and analysis, text mining, correlation and pattern discovery, etc…)
32

Data Analyst Senior Resume Examples & Samples

  • Advanced skill in developing complex databases for evaluating business performance
  • Minimum six (6) years of experience in information technology, business, or related field
  • Prefer bachelor’s degree with an emphasis in information technology
33

Data Analyst, Senior Resume Examples & Samples

  • Perform complex data acquisition, storage, cleaning, and pre-processing
  • Performs advanced quantitative statistical analysis methods
  • Dissemination of results via conferences and journal publication
  • Acts as a statistical subject matter expert and resource for numerous projects
  • Advanced knowledge of statistical analysis approaches (e.g., linear and logistic regression; longitudinal analyses)
  • Knowledge of bioinformatics data analysis pipelines to implement research projects
  • Must be able to work independently as well as part of a team in a fast-paced, highly collaborative and supportive environment
  • Ability to adapt to shifting priorities in response to changing deadlines and the needs of the lab
  • Excellent quantitative and organizational skills
  • Proven ability to work well in collaborative environment
  • Ability to perform complex statistics or biostatistics, data mining, database management, and computer programming (e.g., SAS, R, Unix)
  • Ability to perform genetic analysis
  • 2-5 years of experience in managing complex data required
34

Data Analyst, Senior Resume Examples & Samples

  • 3+ years of experience with data analysis, including developing data queries and troubleshooting data model structure
  • Experience with a business intelligence tool or reporting environment
  • Experience with metrics development
  • Knowledge of Visual Basic for Applications (VBA) or Structured Query Language (SQL)
  • Ability to work well within a fast–paced, team–oriented environment and independently
  • Experience with R for statistical computing
  • Experience with eMASS and DITPR–DON databases
  • MA, MS, or MBA degree preferred
35

Data Analyst Senior Resume Examples & Samples

  • Compiles data; prepares and distributes reports; and analyzes results
  • Assists in efficient and effective program management; identifies poor work quality and cost effectiveness trends; and works with appropriate staff in analyzing and compiling data from technical reviews, as applicable
  • Provides training and coaching on processing and procedures issues
  • Provides analysis and reporting of trends
  • May assist in the completion of appropriate client set-up and maintenance (parameter) forms
  • Extracts data and analyzes information based on plan and jurisdictional requirements
  • Gathers and prepares statistical data for reporting; makes recommendations to management for training needs
  • May analyze data for cause and effect ratios, return-to-work and accommodations trending, disability durations, injury by job type analysis, disability diagnosis trending, etc
  • Presents results to client and/or management
  • Supports the organization's quality program(s)
  • Travels as required
  • Thorough knowledge of query and report writing
36

Data Analyst Senior Resume Examples & Samples

  • As an Information Systems Data Analyst you will be responsible for supporting Data and Systems analysis needs in support of the company's complex needs. This position is responsible collecting and studying data to reveal ways to improve a business need or standardize data entered into the databases. Data analyst responsibilities include gathering data requirements, data activities and designing database models. Data analysts will also develop data analysis and reporting capabilities. They will also monitor performance and quality control plans to identify data improvements. Manage relationships with all stakeholders to control the flow of data. Use creative problem solving skills to remove barriers and effective communication skills to keep all parties informed regarding status. This position is also responsible for developing application specific Logical and Physical models along with their corresponding data definitions. Expertise in creating Entity-Relationship Diagrams is mandatory. Application models will be informed and have traceability to the Enterprise Models. This individual will work closely with all technical and business teams to effectively design and deploy data models. They will manage and maintain all data artifacts used across information platforms
  • Analyzing data to support various projects/programs/functions within the team
  • Filter and “clean” data by reviewing reports and performance indicators to locate and correct code problems
  • Evaluate business data to identify their different characteristics and locate their similarities/difference to find ways they can be integrated for better results
  • Carryout audit on data in a bid to tackle customer base business related issues
  • Interact with company staff and customers to have good knowledge of the business as this helps in the data analysis
  • Handle client related issues and work with both business managers and supervisors in facilitating deliverables
  • Arrange anomalies of consumption and identify errors in data and take measures to resolve them
  • Designs and/or develops specific databases for collection, tracking, and reporting of research data
  • Maintains data dictionary by revising and entering definitions
  • Determines changes in physical database by studying project requirements; and identifying database characteristics
  • Ability to gather and analyze statistical data and generate reports
  • Develop and manage metrics and reporting as required
  • Bachelor’s Degree or equivalent experience
  • Five to ten years of experience in Data Analysis using typical Data Reporting Tools and Methods
  • One to three years of documentation experience
  • Query level knowledge of SQL / Oracle
  • Strong hands-on experience with Erwin or other data modeling tools
  • Investigative skills to research data and query individuals to gain necessary data
  • Advocate of Innovation and Process Improvement
  • Experience creating documentation mainly focused upon one’s particular job function
  • Ability to effectively communicate verbally and in writing to various levels of management
  • Understanding of optimizing data loads and data transformations
  • A proven ability to develop data models with proper atomic level granularity and time variant constructs to ensure the enterprise data assets are captured, stored, maintained and aged appropriately
37

Recovery Data Analyst, Senior Resume Examples & Samples

  • Acts as team lead on large projects requiring coordination with multiple departments within and outside the company
  • Monitors progress of overpayment projects and executes on next step
  • Develops complex data queries to generate reports of overpaid claims
  • Mentors junior recovery analysts
  • Ownership and oversight of specific recovery processes
  • Required A Bachelor's Degree in in related field
  • Required or equivalent work experience
  • Required 5+ years of experience in Business criteria development
  • Required 1+ year of experience in Data Analysis
  • Advanced Other Excellent judgment skills
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Data Analyst Senior Resume Examples & Samples

  • Bachelor's Degree in Health Science, Computer Science, Math, Business or related field, or equivalent combination of education and experience/technical training that demonstrates analytical and technical competency
  • Minimum five (5) years experience performing progressively more responsible work as a clinical or business data analyst, developer or equivalent in a clinical or financial setting
  • Minimum five (5) years of related work in a healthcare environment - Experience with Cerner, Epic or similar software product
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Data Analyst / Data Analyst Senior Resume Examples & Samples

  • Minimum three (3) years of experience performing progressively more responsible work as a business data analyst, developer or equivalent in a clinical setting, preferably a lab or in microbiology
  • Minimum five (5) years of related work in a healthcare environment
  • Minimum five (5) years experience performing progressively more responsible work as a clinical or business data analyst developer or equivalent in a clinical or financial setting
40

Data Analyst Senior Resume Examples & Samples

  • Bachelor's degree with an emphasis in Finance, Mathematics, Accounting, Economics or Statistics and a minimum of 4 years analytical work experience
  • In lieu of a degree, a minimum of 7 years property casualty insurance experience with related analytical experience
  • Intermediate computer skills including MS Office with advanced skills in Excel (knowledge of spreadsheet functionality: v-look-up, pivot tables, charts, graphing and macros)
  • SAS and SQL programming preferred
  • Strong communication skills, both verbal and written
41

Data Analyst, Senior Resume Examples & Samples

  • Works with Libraries Business Center administration to identify data analytics priorities and develop data analysis and business intelligence strategies and products
  • Proactively produces business intelligence using available data sources to advise and propose strategy to Libraries’ leadership
  • Responds in a timely manner to requests for financial, business opportunity, and other data (metrics and assessments) by UA Libraries leadership
  • Creates, tests, and maintains dashboards, reports and other analytical data tools using the UA enterprise data warehouse
  • Works with data owners and users to define analytical data needs/requirements for decision making data, and present reports/dashboards as requested
  • Works with Libraries and UA Press data owners to develop and track unit-specific performance metrics to improve services
  • Communicate results of analysis as a comprehensive report to stakeholders, including graphical tools that aid in review of the data
  • Plans, designs, and creates written documentation related to assignments, such as problem identification/tracking; progress reports; proposed and implemented solutions; and metadata
  • Works with the Enterprise Information and Analytics team, as needed, to construct reports and data requests
  • Communicates technical ideas in non-technical lay terms to Libraries leadership and partners throughout the organization
  • Master’s degree in Management Information Systems or related field AND two years of progressively complex experience developing automated data reporting
  • Five years of experience in procedural or business analysis work, including two years of progressively complex experience using automated data reporting tools or IBM Information Server Datastage; OR,
  • Any equivalent combination of experience, training and/or education approved by Human Resources
  • Proficiency in MS Office applications, including Access and Excel
  • Knowledge of and skill in using relational and dimensional databases and models
  • Knowledge of and skill in using SQL and OLAP systems
  • Knowledge of and skill in using basic methods of statistical analysis
  • Skill in organizing, coordinating, and analyzing, complex technical projects
  • Knowledge and expertise in UAccess Financials, Research, and Employee
  • Knowledge and expertise in UA financial, administrative, and research policies and procedures
  • Highly self-motivated and self-managed; proactive in responding to institutional needs
  • Ability to work independently and as part of a team with minimal coaching or supervision
  • Ability to communicate technical ideas to non-technical personnel
  • Experience presenting and training to different levels of an enterprise
  • Training from Oracle University Training in Oracle Business Intelligence
  • Ability to organize and work under strict time and production deadlines, while producing quality deliverables