Data Analyst

• Lead the oversight, design, governance, and continuous enhancement of CRA data collection and systems management framework
• Partner with cross-functional teams to execute concurrent initiatives
• Drive organizational change to streamline data collection and ingestion through automation
• Perform ongoing analysis of CRA data, systems, and processes
• Provide compliance guidance to management based on CRA requirements and regulatory developments
• Serve as a systems subject matter expert for the bank’s CRA technology platform
• Identify and implement solutions to improve efficiency
• Update CRA data collection and systems frameworks to address change
• Manage system extract logic and data processing
• Partner closely with Enterprise Technology to define requirements
• Support internal audits, regulatory examinations, and compliance activities
• Independently manage and execute complex initiatives that enhance data ingestion

CRA Compliance Systems and Data Analyst

• Support the Batch Reprocessing and Payment Integrity function by designing and delivering the reporting, dashboards, and analytical tooling that measure operational performance across the claims reprocessing lifecycle.
• Partner with operations leadership to define complex reporting requirements.
• Build repeatable and auditable data pulls in place of manual one-off extracts.
• Contribute to data quality and stewardship.
• Design, build, and maintain operational dashboards and reports that track reprocessing cycle time, post-approval turnaround, queue and hold status, stalled or aging tickets, contestment volume, and recovery throughput.
• Write and optimize complex SQL against multiple claims adjudication systems and an enterprise data platform.
• Replace manual, ad-hoc extracts with documented, repeatable, and parameterized data pulls.
• Translate operational questions from team leadership into clear reporting requirements.
• Conduct ad-hoc analysis to answer time-sensitive operational and prioritization questions.
• Support data quality and stewardship efforts.

Senior Data Analyst

• Support a major civilian federal agency while leading data engineering initiatives across LMI as needed.
• Optimize and modernize data pipelines to improve performance, scalability, and long-term sustainability.
• Design and develop new data tools and solutions to support reporting, analytics, and business needs.
• Serve as the lead Data Architect, driving tool development, solution implementation, and innovation across the division.
• Apply functional knowledge of energy-related operations to inform architecture, analytics, and solution design.

Energy Data Analytics Lead

• Collect, clean, and analyze HR data from Workday and other systems to identify trends and opportunities
• Apply analytical and statistical methods to generate actionable insights supporting workforce planning and decision-making
• Monitor key HR metrics, including turnover, hiring trends, and workforce demographics
• Design, develop, and maintain dashboards and reports using tools such as Tableau and Excel and within Workday
• Automate recurring reporting processes to improve efficiency and accuracy
• Provide ad hoc reporting and analysis to Talent and Culture leadership and business partners
• Ensure accuracy, consistency, and integrity of HR data through audits and validation
• Support compliance with applicable data privacy and security standards
• Work closely with HR teams and stakeholders to understand business needs and provide data-driven solutions
• Translate complex data into clear, meaningful insights for non-technical audiences
• Present findings and recommendations to leadership
• Identify opportunities to streamline processes through automation and analytics
• Support ERP and system modernization efforts, including data validation and reporting enhancements

HR Data Analyst – Talent and Culture

• Drive current and future strategy by leveraging analytical skills
• Assist with building and using models to test and validate data
• Work with vast amounts of data in new and evolving environments
• Be a part of growing and developing the brand in new and emerging markets
• Leverage analytics to create a customer experience above peers
• Lead a team of talented junior analysts
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Working with large and complex databases containing millions to billions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests
• Extracting and analyzing data to gauge product offerings
• Consulting on the design and implementation of new production and data storage systems
• Developing and implementing strategic tests of products, initiatives and marketing materials

Data Analytics Manager – Card

• Leverage analytic and technical skills to innovate, build, and maintain data solutions and capabilities
• Use Open Source/Digital technologies to mine complex data sources
• Build well-managed data solutions, tools, and capabilities
• Partner with the business to provide consultancy and translate business needs
• Drive analysis that provides meaningful insights on business strategies
• Drive understanding and adherence to data quality management principles
• Collaborate with Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality

Principal Data Analyst

• Act as the liaison to the enterprise data warehouse program, driving digital needs and requirements for data capture and reporting
• Design, build and deploy integrated BI dashboard solutions that will be used firm-wide
• Design, build and maintain the views, rules, and adapters in OneStream to support various reporting functionality
• Create reports, extracts, etc. based on business user specifications
• Create ad hoc data warehouse queries
• Create and support production ETL processes
• Manage the deployment, monitoring, maintenance, development, upgrade, and support of internal systems
• Develop data feeds required for transfer to internal systems
• Monitor the successful execution of these transfers
• Develop database diagrams

Data Analyst II

• Translate broad questions into well-defined analytic approaches, including defining populations, time windows, comparison groups, and appropriate methodologies;
• Provide ad-hoc analyses to drive insights, provide overviews of major conclusions, constraints or cautions;
• Serve as a technical liaison and subject matter expert for complex analytic questions;
• Recommend best courses of action based on analytic findings, tradeoffs, and business constraints;
• Apply working knowledge across multiple disciplines (analytics, statistics, data engineering, business context) to create innovative solutions;
• Collaborate with researchers, data scientists, reporting, and business stakeholders to define goals, success metrics, and analytic approaches;
• Leverage DBT, SQL, Python and GitHub to extract, transform, and analyze large complex datasets;
• Provide support for products and applications powered through dashboard and reporting services;
• Process confidential data and information according to guidelines.

• Gather and document functional and technical requirements
• Coordinate with SMEs to understand data sources, business rules, data processes, and analytic needs
• Conduct data validation, interpret outputs, and reconcile discrepancies with data engineers and dashboard developers
• Support sprint planning, backlog development, requirement reviews, and cross‑team coordination
• Support data modeling and dataset definition discussions
• Support User Acceptance Testing (UAT) for new dashboard features and enhancements
• Support the current projects by tracking relevant data and dashboard metrics, developing and updating reports, providing administrative and document related support
• Coordinate across the project team and other internal stakeholders as well as with subcontractors as needed
• Develop, propose, and implement solutions for material or logistics related issues to maintain program and project goals.

F-35 Data Analyst Mid

• Partner with business stakeholders and other analysts to understand business data needs
• Capture data requirements, and perform data collection, processing and cleaning
• Provide inputs for data science and business intelligence projects
• Perform analytical on large data sets to support departmental and organizational objectives
• Solve a range of mostly straightforward problems with some increased scope and complexity
• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
• Collaborate with senior staff to communicate findings and insights to stakeholders

Data Analyst, Data Quality

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• Drive current and future strategy by leveraging analytical skills
• Assist with building and using models to test and validate data
• Work with vast amounts of data in new and evolving environments
• Be a part of growing and developing brand in new and emerging markets
• Leverage analytics to create a customer experience above peers
• Lead a team of talented junior analysts while mentoring them
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
• Mining data to arrive at specific and crucial information for the organization
• Identifying and implementing process, data, and reporting improvements
• Working with large and complex databases containing millions to billions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests
• Extracting and analyzing data to gauge product offerings
• Consulting on the design and implementation of new production and data storage systems
• Developing and implementing strategic tests of products, initiatives and marketing materials

Manager, Data Analysis – Card Data

• Conduct computer code (script) reviews for the Code Design Intent Review (CoDIR) process
• Leverage analytical skills to support the Model Compliance Inherent Risk Assessment (MoCIRA) process
• Identify opportunities to leverage GenAI or other capabilities to improve processes and automation
• Collaborate with script owners, business risk offices and compliance partners across the enterprise
• Mine model inventory, script inventory, and assessment results datasets to derive insights
• Identify and implement process, data, and reporting improvements
• Conduct analysis to evaluate processes and tests

Manager, Data Analysis – Model and Script Enhancement Compliance

• Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems
• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
• Drive analysis that provides meaningful insights on business strategies
• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality

Senior Associate Data Analyst - Card

• Support analytics and reporting activities associated with enterprise AI, research, and operational modernization initiatives.
• Develop and maintain dashboards, reports, data visualizations, and operational analytics supporting leadership decision-making.
• Perform data extraction, transformation, analysis, validation, and reporting activities across multiple enterprise data sources.
• Support development and optimization of ETL workflows, reporting processes, and analytics activities.
• Conduct statistical programming, data analysis, and operational reporting activities supporting research and organizational priorities.
• Support AI-enabled analytics initiatives, including activities involving large language models (LLMs), retrieval workflows, and operational data analysis.
• Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness.
• Support integration and analysis of data from research systems, operational platforms, databases, and cloud-based environments.
• Collaborate with technical and operational stakeholders to support AI pilots, analytics initiatives, and reporting priorities.
• Support data quality management, validation, and continuous improvement activities.
• Prepare summaries, presentations, dashboards, and executive-level reporting materials for technical and non-technical audiences.

Senior Data Analyst – AI Research Systems Support

• Drive current and future strategy by leveraging your analytical skills
• Assist with building and using models to test and validate data
• Work with vast amounts of data in new and evolving environments
• Be a part of growing and developing our brand in new and emerging markets
• Leverage analytics to create a customer experience above our peers
• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
• Experience real work life balance, with little travel involved
• Mine data to arrive at specific and crucial information for the organization
• Identify and implement process, data, and reporting improvements for the organization
• Work with large and complex databases containing millions to billions of records
• Improve operational efficiencies and effectiveness
• Conduct analysis to evaluate processes and tests
• Extract and analyze data to gauge product offerings
• Consult on the design and implementation of new production and data storage systems
• Develop and implement strategic tests of products, initiatives and marketing materials

Manager, Data Analyst – Credit & Financial Risk Management

• Bridge business needs and data solutions by translating stakeholder requirements into data models, prototypes, and technical specifications
• Define what data is needed and how it should be structured to support organizational and program goals with downstream development
• Gather and document business and data requirements; identify data gaps and collaborate with developers to refine solutions
• Develop conceptual data models and database schemas
• Create prototypes (e.g., dashboards, data flows) to validate requirements
• Define KPIs, metrics, and success criteria

Data Analyst – Temporary, Full-Time

• Lead data discovery and requirements gathering across systems and stakeholders
• Develop and maintain enterprise data dictionaries, such as definitions, lineage, ownership, and standards, , building toward a unified enterprise data dictionary across systems
• Analyze and map data across multiple systems to ensure consistency and interoperability across multiple authoritative source systems
• Define data models, schemas, and data standards to support reporting and workflows
• Translate business needs into data requirements, mappings, and transformation logic
• Design and support data pipelines and integrations across platforms
• Build and maintain dashboards and reports to support operational and executive decision-making, including applicant/permittee and executive business intelligence dashboards with KPIs, built to Section 508 accessibility standards
• Ensure data quality, validation rules, and governance standards are implemented
• Collaborate with engineering teams to integrate data with workflow and application systems
• Support documentation, user stories, and acceptance criteria for data-related features

• Sit with internal stakeholders (Medicare sales, finance, operations, HR) to walk them through Omni dashboards, capture feedback, document defects and change requests, and track them to resolution.
• Make report-side changes in Omni: tile edits, formatting, labels, filters, and layout. Escalate anything that touches dbt models or schema to the Interim Head of Analytics.
• Write SQL to spot-check numbers, audit data quality, and answer one-off questions from the business.
• Maintain and update the entity-relationship documentation for the Mart layer as the schema evolves.
• Reconcile reported numbers against source systems (Sabal, Atlantis, Paylocity, Sonar, Retreaver) when discrepancies are flagged.
• Own a clean, organized backlog of business requests and known issues so nothing falls through the cracks.

Junior Data Analyst

• Oversees/provides mentorship other analysts as directed by the Director Health Analytics.
• Oversees the analyst training program by identifying training gaps/requirements and collaborates with the PDMO to procure and/or develop and lead training modules as directed by the Director of Health Analytics.
• Leads data risk assessments to mitigate and/or expose data quality and/or security issues in collaboration with the PDMO and Director of Health Information.
• Identifies and troubleshoots unanticipated data problems or unexpected results and provides solutions to resolve identified concerns.
• Provides consultation, as needed, regarding optimal statistical methods and analysis designs.
• Performs advanced statistical analysis with guidance from the Director of Health Analytics.
• Provides consultation and support for HAI project team members in data analysis and visualization best practices, and new and current technology.
• Leads the development of detailed reports that can be readily understood, using best practices in data visualization and statistics.
• Participates in high-level stakeholder meetings to understand stakeholder priorities and develop potential solutions as required.
• Develops quality assurance processes and protocols in collaboration with the PDMO.
• Serves as an HAI representative and liaison to the West Virginia Department of Health Services for the planning and performance of projects, programs and activities involving health data analytics and program evaluation.
• Facilitates communication and efficient collaboration between research partners at the Health Affairs Institute and the staff of the West Virginia Department of Health Services.
• Ensures that data analytic and research/evaluation activities are compliant with Health Affairs Institute and University-level policies for the responsible conduct of research as well as federal and state policies.
• Provides consultation to faculty and government partners regarding preparation of research proposals, design and methodology, data analytics and interpretation of results.
• Identifies opportunities for potential collaborations between the Health Sciences Center and the West Virginia Department of Health Services.
• Prepares reports as required by the University, the Health Sciences Center administration, and external agencies.
• Communicates results of analytic projects and program evaluations with relevant staff of the West Virginia Department of Health Services.
• Conducts or directs special projects as assigned.
• Acts in other matters and capacities as delegated by the Director Health Analytics for the Health Affairs Institute.

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