Analyst, Data Analytics Resume Samples

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DW
D Walsh
Dustin
Walsh
790 Lindsay Centers
San Francisco
CA
+1 (555) 626 9775
790 Lindsay Centers
San Francisco
CA
Phone
p +1 (555) 626 9775
Experience Experience
San Francisco, CA
Analyst Data Analytics
San Francisco, CA
Hand-Mohr
San Francisco, CA
Analyst Data Analytics
  • In-depth quantitative analysis and summarisation of complex transactional data
  • Writing SQL / SAS code to aid data interrogation and investigations
  • Consulting with clients on business issues, often explaining complex technical concepts to non-technical people
  • Drafting reports and presentations to explain our findings
  • Researching new products, tools and techniques to assist with streamlining internal processes and methods of presenting results to clients
  • Assist in the documentation and prioritization of development backlog
  • Assist in facilitating and interpreting discussion across business units about new visualizations, reports, correlations and potential new sources of information for presentation to users
Dallas, TX
Analyst, Data Analytics
Dallas, TX
Schmidt-Denesik
Dallas, TX
Analyst, Data Analytics
  • Perform detailed quality checking and cross-referencing of data with past analysis, business and industry knowledge
  • Supports development of ad hoc quantitative analyses and statistical models and analyses
  • Create and maintain dashboard-level reporting, with emphasis on accurate and compelling data visualization
  • Assist in preparing and presenting complex data visualizations, written and verbal reports, and presentations
  • Interest in financial services or insurance industry
  • Project Management (developing project presentations, updating project plans, milestone tracking, identifying and mitigating risks & issues, action item follow-up, dependencies management, resourcing, communications, data access requests coordination, meeting minutes, and meeting coordination)
  • Supports data collection, cleansing, and validation
present
Philadelphia, PA
Analyst, Data & Analytics
Philadelphia, PA
Hirthe, Johns and Champlin
present
Philadelphia, PA
Analyst, Data & Analytics
present
  • Developing relationship-marketing strategies and collaborating with other capabilities to build robust marketing approaches for clients
  • Providing integrated, analytic marketing solutions to improve client decision-making
  • Designing and conducting analysis for recommendations
  • Tracking marketplace, technology, and consumer demographic trends within and across multiple industries
  • Developing smart, compelling client presentations
  • Keeping a pulse on the industry and building up knowledge of business strategy issues
  • Conducting primary and secondary research on market trends
Education Education
Bachelor’s Degree in Mathematics
Bachelor’s Degree in Mathematics
Quinnipiac University
Bachelor’s Degree in Mathematics
Skills Skills
  • Perform detailed quality checking and cross-referencing of data with past analysis, business and industry knowledge
  • Apply knowledge of Prudentials U.S. businesses and corporate groups to analysis and insights
  • Prepare, format, and clean data for analysis, adhering to strict quality control procedures to ensure accuracy of the analysis
  • Conduct intermediate statistical analysis, such as linear regression, time-series analysis, and classification models, with guidance
  • Conduct descriptive statistical analysis, such as frequencies and cross-tabulations
  • Summarize findings in written and verbal reports to key stakeholders
  • Create and maintain dashboard-level reporting, with emphasis on accurate and compelling data visualization
  • Assist in preparing and presenting complex data visualizations, written and verbal reports, and presentations
  • Query and mine large data sets, connecting data from disparate sources to identify insights and patterns
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15 Analyst, Data Analytics resume templates

1

Analyst, Data, Analytics & Insights Resume Examples & Samples

  • Meet several business leaders within the organization in order to build some Business Cases for the marketing activities and the Affinity Market Partners
  • Communicate with internal clients from Marketing, Finance, Workforce Management, etc. in order to answer a variety of questions
  • Produce and validate a lot of reports to measure the impact of the revenues
  • Build, maintain and update scorecards and dashboards containing key metrics.Develop Big Excel model with a lot of complexity to forecast the sales for the Auto and Home product of TD Insurance
  • Demonstrate highly developed analytical skills
  • Knowledge of SAS, SQL and data extraction under Windows and Unix will be a strong asset
  • Have the ability to summarize results
  • Knowledge of Business Intelligence and Data Mining
  • Knowledge of Marketing strategies within an insurance setting
2

Statistical Analyst, Data Analytics Resume Examples & Samples

  • Preform a thorough analysis of email campaigns and transactional data “what happened?”
  • When the situation calls for it preform ad-hoc analysis, “why did this happen?”
  • Be a champion of email testing, “how can we get better?”
  • Harness large volumes of data for analysis with interpretation of results in business context, “where are the opportunities?”
  • Build predictive statistical models “what will happen next?” and “who is it likely to happen to?”
  • Bachelor or Master's degree in a quantitative field (Statistics, Mathematics, Engineering, Economics, etc.); graduate degree is strongly preferred
  • Thorough understanding of basic statistical methods (hypothesis testing, linear regression, logistic regression, etc.)
  • Hands on experience with SAS
  • Experience in SQL programming or relational database tools such as Business Objects a plus
  • Keen ability to visualize data through graphing/ charting/ information display skills (strong Power Point skills are essential)
  • Ability to explain complex analysis in layman’s terms to a non-technical audience
3

Business Intelligence Analyst Data Analytics Resume Examples & Samples

  • Be able to identify and document ambiguities in data and business requirements and drive to resolution
  • Be able to research, develop, and integrate methods for analyzing GE products
  • Have produced project deliverables – data requirements, data dictionaries, source-to-destination mapping, project plans etc
  • "Designs, implements and maintains the application-specific blueprints, life-cycle plans, and roadmaps
  • Should have working knowledge of MSBI and SAS applications
  • Should have high level High level design knowledge and understand architecture
  • Good understanding of SQL design and Finance domain knowledge
  • Defines detailed functional and technical specifications required to satisfy business requirements for programs, projects, and releases
  • Communicates design, functional, and technical specifications to development team
  • Provides solution planning and estimating of programs and projects
  • Completes tasks, reporting status and work assignments in a timely fashion
  • Develop, build effect test plans, participate and lead testing phases
  • Operate effectively in ANZ business operation hours
  • Bachelor's Degree in Computer Science, Information Management or other technical / IT field, OR
  • (about 3-5 years of relevant IT work experience)
  • Minimum 3 years of IT experience in developing and implementing data and BI related large, complex projects and in BI analyst
  • About 3 years of experience developing effective BI solutions and front ending with business and technical teams teams on solutions and data analysis
  • About 3-5 years of experience in business intelligence as data analyst, data warehousing or data management
  • Minimum 1 year of operations management experience
4

Analyst, Data, Analytics & Insights Resume Examples & Samples

  • Build tool enabling him to track and detect emerging trends
  • Create and maintain efficient tools to perform analysis or monitor key metrics to optimize the profitability of TD Insurance portfolio
  • Interact with different business partners to get a better understanding on various observed trends in order to provide relevant explanations of business metrics
  • Perform analysis in order to explain fluctuations, identify emerging trends or gaps between different data sources
  • Develop, explore and validate theories in correlation of observed trends
  • Ensure coherence between the different measures and analysis
  • Sharing information with various parties (colleagues and client)
  • Explain highly complex problem in a comprehensive way
  • Use various presentation support to present analysis (mainly PowerPoint)
  • Become a subject matter expert on profitability
5

Analyst, Data, Analytics & Insight Resume Examples & Samples

  • 5 years of relevant experience. Excellent academic results may be considered
  • Master Excel, PowerPoint & Word
  • Have the ability to synthesize analysis results
6

Analyst, Data Analytics Resume Examples & Samples

  • Query and mine large data sets, connecting data from disparate sources to identify insights and patterns
  • Perform detailed quality checking and cross-referencing of data with past analysis, business and industry knowledge
  • Prepare, format, and clean data for analysis, adhering to strict quality control procedures to ensure accuracy of the analysis
  • Conduct descriptive statistical analysis, such as frequencies and cross-tabulations
  • Conduct intermediate statistical analysis, such as linear regression, time-series analysis, and classification models, with guidance
  • Create and maintain dashboard-level reporting, with emphasis on accurate and compelling data visualization
  • Assist in preparing and presenting complex data visualizations, written and verbal reports, and presentations
  • Apply knowledge of Prudentials U.S. businesses and corporate groups to analysis and insights
  • Bachelors or masters (preferred) degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline
  • Significant coursework or prior work experience in Statistics, with exposure to data structures and data visualization
  • Analytical mindset and interest
  • Comfortable working with numbers and large data sets
  • Well developed written and oral communication skills
  • Interest in financial services or insurance industry
7

Analyst, Data Analytics & Insights Resume Examples & Samples

  • Excellent knowledge of SAS, SQL and programming
  • 3 to 5 years of relevant experience. Excellent academic results may be considered
  • Bilingual (English and French)
  • Be rigorous and quality conscious
  • Work efficiently in a team setting
  • Be mature and demonstrate a professional image
8

AML Risk Analyst, Data Analytics & Technology Resume Examples & Samples

  • Help to oversee the administration and management of Anti-Money Laundering and Global Economic Sanctions related systems
  • Conduct analysis to ensure quality of transaction monitoring alerts and data integrity
  • Act as a point of escalation for Anti-Money Laundering (AML) and Global Economic Sanctions (GES) system related issues
  • Identify and track design flaws and/or software problems and report to programming personnel. Collaborate with technology partners and propose recommendations for corrective action
  • 3 - 5 years of related experience. Foundational knowledge regarding data governance and architecture concepts
  • Deep understanding project management as it relates to software development policies/procedures
  • Ability to plan and manage multiple and competing priorities
  • Experience with AML related systems and risk mitigation tools preferred
  • Knowledge of AML and GES related regulations and requirements preferred
  • CAMS certification preferred
  • Actimize experience preferred
9

Analyst, Data & Analytics Group Resume Examples & Samples

  • Conduct Advisory Board member education on comprehensive suite of analytical resources
  • Scope and generate data-oriented reports for internal and external clients
  • Support research needs for Research and Insights division
  • Act as content expert for comprehensive healthcare databases composed of detailed clinical, financial and operational information; create, update and query databases with Microsoft SQL Server- Collaborate with research teams to transform quantitative analyses into more customizable and user-friendly applications for members
  • Support development of educational presentations around payment policy and other salient healthcare trends
  • Strong quantitative, analytic and logical reasoning skills
  • Drive to consistently meet deadlines and maintain focus, even under pressure
10

Analyst Data Analytics Resume Examples & Samples

  • Assist in the documentation and prioritization of development backlog
  • Act as a functional expert in data and analytics for decision support across the Finance, Marketing and Sales functions, including performing deep data analysis to gain an expert understanding of data combined from multiple sources
  • Assist in facilitating and interpreting discussion across business units about new visualizations, reports, correlations and potential new sources of information for presentation to users
  • Along with the Sr Director, Analytics, interact regularly with counterparts in WEA Research & Analysis team, SAP BW/BO team and other departments to understand emerging requirements and pain points
  • Work across business units in support of local users of Tableau HA platform and SAP BW and Business Objects
  • Act as a liaison between business end users and technical support teams, enabling the translation of business needs to viable technical solutions
  • Assist with end user training on new functionality within the reporting systems
  • Assist in month end reconciliations between source systems/Financials and Reporting systems
  • Assist in analyzing data to understand variances and root cause analysis
  • 4+ years’ experience and technical proficiency in providing requirements into an Agile development environment
  • Strong experience and understanding of core financial data management and reporting, with prior experience working with financial data and a foundational knowledge of key finance and accounting concepts
  • Prior experience with social media data a strong plus
  • Strong communication and interpersonal skills, with the knowledge and ability to bridge the gap between business and technology
  • Proactive approach to problem solving and a willingness to handle multiple projects simultaneously
  • Technology skills: Strong functional reporting skills in SAP BW/BOBJ and/or Tableau, SQL competency is a plus
11

Analyst, Data Analytics Resume Examples & Samples

  • Establish relationships with data owners to gain an understanding of available resources, flow of information and ways in which information can be leveraged in the audit process
  • Translate audit scenarios and requirements into technical specifications, build queries and test the query results for appropriateness and completeness
  • Extract, mine, and stratify data from various internal data repositories and where appropriate, merge data with external resources for micro and macro level analysis
  • Develop automated scripts and programs to allow auditors to execute data analytical programs for similar or recurring audits and to support continuous auditing/monitoring efforts
  • Effectively communicate with management and staff
  • A Bachelor's Degree from an accredited college/university; Dual major/minor combination of Computer Science, Business Analytics, Management Information Systems, and Business (e.g., Accounting, Business Administration, Economics, Finance, Management, Statistics) is a plus
  • Demonstrated record of successful, high impact data analysis projects and outcomes
  • Experience with a variety of ERP Systems (e.g., SAP, PeopleSoft, Oracle) and understanding of data systems (e.g., warehouses, databases)
  • Advanced MS Excel skills required; including pivot tables, Vlookups, creating macros, and visualization techniques
  • Excellent communication skills, both oral and written
  • Ability to participate within a multi-disciplinary team and be a strong team player
12

Analyst, Data Analytics Resume Examples & Samples

  • Bachelors degree preferred or equivalent work experience
  • Previous experience preferred
  • Has an understanding of current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
  • Prepares and analyzes data. This can include: locating, profiling, cleansing, extracting, mapping, importing, transforming, validating or modeling
  • Applies query, data exploration and transformation, basic statistical methods and visualization techniques to create business insights or improve data quality
  • Performs validation and testing to confirm the accuracy of the information created
  • Interprets results of analyses, identifies trends and issues, and develops recommendations to support business objectives
  • Communicates complex information so that it is easy to understand and influences other to take action based on the useful information provided
  • Implements and maintains decision support or master data management solutions
  • Works on projects of limited scope and complexity
  • Follows established procedures to resolve readily identifiable technical problems
  • Works under direct supervision and receives detailed instructions
  • Strong working knowledge of Microsoft Office to include Excel
  • Ability to manipulate spreadsheet data using V-lookup and Fuzzy Lookup
  • Ability to work second shift
13

Analyst, Data Analytics Resume Examples & Samples

  • Supports the process of identifying and scoping analytical projects that align with priority business opportunities, challenges, and needs
  • Supports the development of project milestones, alignment with stakeholder needs, and departmental processes and operational policies
  • Supports data collection, cleansing, and validation
  • Supports development of ad hoc quantitative analyses and statistical models and analyses
  • Supports the identification of actionable insights and contribute to the development of business recommendations through effective presentations and communication of results. Supports the development of effective presentations
  • Operationalizes key findings, insights, and recommendations. Develops tools to speed and automate the production of dashboards, complex models, and analyses. Supports training, communication, and development of new policies
14

Analyst, Data & Analytics Resume Examples & Samples

  • Developing relationship-marketing strategies and collaborating with other capabilities to build robust marketing approaches for clients
  • Providing integrated, analytic marketing solutions to improve client decision-making
  • Designing and conducting analysis for recommendations
  • Four-year of college education (statistics, economics, finance, or marketing focus preferred) with a strong record of academic achievement
  • Excellent verbal and written communication skills, and an ability to prepare clear and concise client-ready documents
  • Fluency with Microsoft Office
  • Experience with SAS (preferred)
15

Analyst, Data & Analytics Resume Examples & Samples

  • Develop expertise over multiple survey research products for U.S. and International members
  • Build excel-based research reports and design custom surveys on a range of topics across healthcare
  • Analyze raw data to visualize organizational trends and utilize statistical methods to generate insights
  • Create custom data reports for members using results reporting site and data analysis software
  • Administer and act as content expert for comprehensive engagement databases composed of detailed opinion, organizational structure and demographic information; create, update and query databases
  • Provide technical and analytic expertise to members
  • Solve technical and data issues and perform root cause analysis and identify and implement corrective and preventive measures
  • Excellent academic record
  • Minimum 1 year of professional experience
  • Experience with at least two of the following
  • Experience managing multiple clients or projects
  • Demonstrable analytical reasoning or quantitative analysis
  • Knowledge of analytic tools (Excel, SQL, R, Python, Stata)
  • Ability to communicate with clients and team members both written and orally
  • Experience with opinion or perceptual survey administration or design
16

Analyst, Data & Analytics Resume Examples & Samples

  • Analyze and identify key insights in relation to overall objectives of maximizing Marketing ROI
  • Create and present insights gleaned from performance and syndicated data to planning teams and clients
  • Analyze data to gain understanding of trends, behaviors and relationships
  • Working with account and client teams to identify and resolve issues that arise throughout the duration of a campaign with regards to data capture
  • Develop and execute processes for accurate data capture implementation across all assigned campaign projects
  • Manage and interact with ad-serving vendor(s) and campaign management team to ensure the system can deliver on proposed and advanced campaign metrics
  • Contribute to model building/development, interpretation of results and visualizations
  • Working with the media and analytics team to determine optimal metrics for developing insights into campaign effectiveness
  • Understand, translate, and provide POV for new sources/vendors/ opportunities for data collection
  • Clearly communicates key findings, issues and implementation requirements to media planning teams and media buying teams
17

Analyst, Data & Analytics Resume Examples & Samples

  • Experience in developing enterprise integration applications using IBM middleware stack like WMB/IIB,MQ, DataPower, WSRR, ODM
  • Experience in developing ETL maps using Informatica or SAP BODS
  • Experience in developing SOAP/REST web Services
  • Experience in developing applications with Java/J2EE systems
  • Experience in integrating cloud applications
  • Experience in using databases like Teradata, Oracle, Exadata, DB2
  • Experience in working with deployment automation using Jenkins or Maven
  • Required good understanding of Single Sign On, Security, Managed file transfers, Operating system and networking
  • Experience in developing services/API’s for mobile applications
18

Data Analyst, Data & Analytics Resume Examples & Samples

  • Must have 3 years of experience in one or a combination for the following: data sourcing, data warehousing implementation, data management and Data-Sourcing ETL
  • Must have 2 years of experience in Data Architecture, Master Data Management (MDM) Hadoop, Enterprise Data Management and/or Informatica
  • Must have 3 years of experience in data stewardship, data strategy, data governance, data quality, developing target operating models for data management and associated governance structures, and/or designing and implementing end-to-end data controls
19

Speech Analyst, Data Analytics Resume Examples & Samples

  • Establish a detailed understanding of DE’s strategies, vendor requirements, and regulatory concerns as they apply to our business
  • Build strong knowledge of the mechanics and scripting language used by the CM product to become the content expert at DE
  • Gain firm understanding of how the data used is accumulated and how it flows through the process from the initiation of the call to the CM outputs
  • Utilize best practices to calibrate the CM tool to accurately reflect the content of our calls along with highlighting areas of concern within the calls
  • Analyze data to identify and recommend opportunities to improve the customer experience, operational procedures and policies, along with how DE leverages the CM tool
  • Understand DE stated practices in order to identify gaps between them and actual practices, and escalate any significant gaps to management
  • Establish a set of dashboards and executive level reports to bring forward the most relevant data and trends by client, site, collector, etc
20

Senior CI Analyst Data Analytics & Simulation Resume Examples & Samples

  • Supporting establishment and continued maintenance of a new internal Data Analytics capability for identifying business improvement potential
  • Supporting operations with execution of Structured Improvement Interventions as needed
  • Supporting design and implementation of an internal advanced Data Analytics capability supporting the Operational Technology environment
  • Supporting development of standardised reporting for all levels of the business working in collaboration with Information Technology and Applied Technology teams: Strategic, Tactical and Operational
  • Assisting in research and introduction of next generation simulation tools and processes into the current business platform (Advance Simulation and decision support tools)
  • Identifying operational areas for improvement through regular Advance Data analytics and Benchmarking
  • Supporting development of automated performance measurement tools for use in identifying improvements across all PEA operations. E.g VDT, Line Balance
  • Technical Degree or higher
  • Data modelling/Analysis Qualification
  • Modelling experience with Simulation software e.g. Riverlogic, Arena etc. preferred
  • Linear programming or linear optimisation experience preferred
  • Value chain optimisation experience desirable (optimisation using Theory of Constraints)
  • Advanced data skills: Excel analysis using data import, pivot tables and graphical outputs are a minimum
  • Excellent presenting and communications skills
  • Structured Problem solving methodology
  • Knowledge of Performance Management methods and metrics
21

Data Analyst / Data Analytics Resume Examples & Samples

  • Experience supporting Tableau and Teradata projects, though primary analytics delivery is via PowerPoint
  • Provide and build analysis and reporting functionality to support the executives, divisions and customer care personnel leadership report and analysis requests
  • Experience with data science and statistics principals (R or SAS) a major plus
22

Analyst, Data Analytics Resume Examples & Samples

  • Project Management (developing project presentations, updating project plans, milestone tracking, identifying and mitigating risks & issues, action item follow-up, dependencies management, resourcing, communications, data access requests coordination, meeting minutes, and meeting coordination)
  • Business Analysis (requirements gathering, data & process documentation, and 3rd party Data vendor analysis)
  • Data Analytics (Data visualization, Reporting, Business Intelligence, Data Validation)
  • Collaborates at all levels to support development of advanced analytics models working closely with data scientists, actuaries, claims, underwriting, technology professionals and business partners
  • Partner with Data Technology (Dev & QA) on the execution of activity supporting the data analytics projects across Prudential’s environments
  • Bachelor’s degree in Data Analytics, Business Analysis or Project Management or the equivalent experience
  • High degree of self-motivation and self-starter abilities with a strong sense of accountability and dedication to excellence, balancing responsiveness to diverse requests from many stakeholders, as well as proactive initiation of and action on projects and initiatives