Data Analyst

• Collect, abstract, analyze, and accurately code complex clinical data for trauma patients, capturing 88–200 data elements per case from both electronic and paper medical records.
• Apply advanced knowledge of trauma coding standards, including Abbreviated Injury Scale (AIS), ICD-10 coding, trauma scoring methodologies (GCS, ISS, TRISS, POS), and other regulatory requirements.
• Determine case inclusion and ensure compliance with standards established by the American College of Surgeons (ACS), National Trauma Data Bank (NTDB), Trauma Quality Improvement Program (TQIP), and the Massachusetts Department of Public Health (DPH).
• Partner closely with the Trauma Medical Director, Trauma Program Manager, and Performance Improvement team to support trauma quality initiatives, mortality and morbidity reviews, and performance improvement meetings.
• Identify, document, and track clinical complications while ensuring timely performance improvement loop closure.
• Prepare and submit required state and national trauma registry data and maintain ongoing compliance with accreditation and benchmarking requirements.
• Produce routine, ad hoc, and complex reports that support clinical research, operational decision-making, accreditation activities, and quality improvement initiatives.
• Serve as the liaison between the Trauma Program, State Medical Examiner's Office, Health Information Management, Information Technology, and the trauma registry vendor to ensure database integrity and timely issue resolution.
• Participate in trauma rounds, multidisciplinary meetings, educational activities, and ongoing performance improvement initiatives.

Trauma Registrar, Data Analyst

• Own Foley's enterprise data model
• Drive the medallion architecture from a product definition perspective
• Own Silver and Gold layer data definitions
• Prioritize the engineering backlog in partnership with the VP of Engineering
• Be the primary data platform partner for business stakeholders
• Own stakeholder communication
• Maintain a weekly touchpoint with the AI Value Creation Office
• Own delivery against quarterly KRs
• Own the product roadmap for Foley's intelligence self-service platform
• Own the API layer as a product
• Define and maintain the metric layer
• Partner with the data analyst and engineering to enable self-service intelligence
• Drive platform adoption and capability enablement across the organization
• Own the capabilities and paved paths backlog

Staff Product Manager, Data & Analytics

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Senior Associate, Data Scientist – Commercial Bank Strategy & Analytics

• Transform population health data into meaningful stories: Create dashboards, scorecards, and reports that communicate trends, performance, and opportunities in a clear and actionable way.
• Develop analytics that drive enterprise-wide performance in the following domains: Quality Measures: HEDIS reporting, STAR ratings, gap closure
• Medical Expense: cost-of-care trends, utilization, savings opportunities
• Value-Based Care & Network Performance: contracting insights, pay-for-performance metrics, financial performance
• Employer Group Reporting: clinical and financial outcomes reporting for employer clients
• Clinical Integrated Network (CIN) Reporting: quality, financial, and operational analytics for CIN providers
• Provider Performance Analytics: quality, and financial performance analytics
• Benchmarking: quality, utilization, and performance benchmarking
• General Population Health Reporting: trends, cohorts, risk indicators, and care management support
• Support key reporting needs across the organization
• Engage directly with stakeholders: Collaborate with diverse internal teams, and external provider partners to understand analytic needs and translate them into actionable solutions.

Senior Healthcare Data Analyst

• Partner with HR leadership to develop and execute Hyper's HR AI, automation, and workforce analytics roadmap
• Identify opportunities to leverage AI and automation to improve recruiting, onboarding, employee experience, reporting, and HR operations
• Research, evaluate, and pilot emerging AI technologies that deliver measurable business value
• Design, build, and maintain executive dashboards supporting recruiting, retention, workforce planning, and key HR metrics
• Analyze workforce data to identify trends and provide actionable recommendations to business leaders

HR AI & Workforce Analytics Specialist

• Conduct collision scene investigations
• Conduct vehicle examinations
• Analyze physical evidence, vehicle damage, roadway conditions, photographs, and electronic data
• Download, collect, and interpret Event Data Recorder (EDR) data
• Obtain and analyze Vehicle Sampling Evidence
• Analyze and interpret evidence and data to render an expert opinion pertaining to damage and to confirm or dispute a claim
• Work independently and manage assignments from intake through final reporting
• Maintain professional documentation and chain of custody standards
• Present findings in the courtroom as an expert.

Collision Data Analyst

• Partner with business stakeholders to identify opportunities for data, analytics, automation, and AI solutions
• Contribute to business case development, product valuation, and prioritization efforts using value-versus-effort assessments
• Support the development and execution of data product roadmaps aligned with business objectives and enterprise analytics strategy
• Manage and improve data products throughout the product lifecycle, including ideation, planning, development, launch, adoption, optimization, and retirement
• Collaborate with data engineers, data architects, developers, data scientists, and technology partners to support delivery of proof-of-concepts (POCs), pilot programs, and minimum viable products (MVPs)
• Define and track product success metrics, KPIs, adoption measures, and business outcomes
• Analyze product performance and user feedback to identify enhancement opportunities and drive continuous improvement
• Support stakeholder communications, change management activities, training initiatives, and adoption strategies
• Promote scalable analytics solutions and data literacy across the organization
• Monitor industry trends, emerging technologies, artificial intelligence capabilities, and data analytics best practices to identify innovation opportunities
• Serve as a trusted resource on data products, analytics capabilities, and business value realization.

Product Strategy Analyst, Data & Analytics

• Refining a new Enterprise-wide analytical tools validation framework
• Planning and executing validation projects
• Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
• Understanding technical issues in analytical tools and assessing tools risks and opportunities
• Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
• Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
• Leveraging education, colleagues and training opportunities to develop solutions to business problems
• Coaching and mentoring junior staff

Senior Manager, Data Analysis – Card Services

• Develop business strategies that will drive growth, profitability, and competitive success for Capital One
• May manage and develop 1-2 analysts, coaching and mentoring associates
• Develop and implement new product and pricing strategies for various lending products
• Lead direct-to-consumer marketing efforts and build targeted insights
• Drive improvements in credit performance via creating risk models and rigorous analysis
• Manage and sequence delivery of business intent, build business requirements, and execute product strategy
• Work closely with colleagues across Capital One including: IT, Sales, Operations, and Finance

Business Manager – Marketing, Analytics, Product Strategy

• Leading capacity planning and workforce optimization activities for the Retail Storefront Support Team
• Ensuring effective management of capacity levers, operational performance, and financial resources
• Translating business insights into actionable strategies by partnering across teams to analyze performance data, identify trends, and recommend solutions that improve customer experience, retention, productivity, and growth outcomes
• Leading discussions with key stakeholders to communicate information learned from analyses, provide input into line of business strategy development, and drive and influence business decisions
• Overseeing efforts to identify key business assumptions and hypotheses around line of business strategy
• Continuously refining hypotheses and identifying business questions to explore further
• Developing the analytical framework and blueprint to answer business questions identified in the business portfolio, product, or member experience and providing support to lower levels towards this effort
• Collaborating with key stakeholders to evaluate and uncover complex or critical strategic insights related to Profit & Loss performance including Product Strategy, Pricing, Marketing, Sales, Credit Risk, Distribution Channels, and Member Experience
• Applying expert analytical rigor to define outcome measures, improve prioritization, increase agility in decisioning, improve ability to evaluate progress towards business outcomes, and to evaluate risks to strategic goals
• Effectively influencing and driving strategic agreement utilizing subject matter expertise and interpersonal and negotiation skills
• Serving as a team lead and providing guidance and on-the-job training to team members
• Ensuring risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures

Lead Business Strategy Analyst – P&C Contact Center Workforce Analytics

• Working in a fast-paced, innovative, and change-oriented work environment
• Using programming skills to explore, examine and interpret large-scale data in various forms
• Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems, and improve our analytical speed-to-insight
• Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
• Focus on automation and utilizing technology to provide repeatable reporting solutions to promote self-service culture for business partners
• Building a strong network of peers and mentors
• Attending on-site technical and professional development classes
• Presenting accomplishments to leadership across the organization
• Participating in sponsored community service events

Data Analytics Co-Op

• Building, maintaining, and analyzing large-scale datasets that support pricing models and strategic decision-making across property and casualty insurance products
• Focuses heavily on data engineering, dataset design, and analytical modeling support
• Partners closely with actuarial, product, underwriting, and analytics teams to ensure pricing models are built on accurate, well-structured, and scalable data

Analytics Analyst

• Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams
• Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change
• Translates recommendation into communication materials to effectively present to various levels of management.
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
• Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
• Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
• Provides subject matter expertise in operationalizing recommendations.
• Remains informed on current data and analytics trends.

Senior Decision Science Analyst – P&C Underwriting Analytics

• Assists in development and analysis of quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning.
• Supports more experienced analysts and management in data analysis, model development efforts and ad-hoc analysis as needed.
• Assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
• Prepare, manage and analyze large customer loans and deposit data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly specify and estimate econometric models to understand customer or Bank behavior for purposes of interest rate, liquidity or stressed capital risk.
• Understand the context of the Bank's data and businesses to ensure properly developed models.
• Produce and run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms of model development activities to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and Risk Management colleagues to demonstrate key risk drivers and dynamics of model output.
• Execute models in production environment; communicate analytical results to Bank-wide stakeholders.
• Track portfolio performance, model performance, campaign tracking and risk strategy results.
• Incorporate observations and data into existing models to improve predictive results.
• Identify deviations from forecast/expectations and explain variances.
• Identify risk and/or opportunities.
• Support development and maintenance of satisfactory model documentation, including process procedures and performance monitoring guidelines to serve as reference source.
• Provide financial analysis and data support to other groups/departments across the Bank as required.
• Engage with colleagues in Model Risk Management for model validation exercises.

Credit Model Development Quantitative Analyst I – HELOC, Residential Mortgage

• Lead a high-performing team responsible for evaluating new and existing data assets for use across TransUnion products and services.
• Oversee end-to-end assessment of alternative and traditional data sources, including planning, execution, coverage analysis, quality validation, and business value determination.
• Develop and standardize scalable due diligence methodologies including data profiling, coverage analysis, gap analysis, lift analysis, and simulation testing.
• Translate complex analytical findings into actionable insights that influence product strategy, business decisions, and revenue-generating opportunities.
• Partner with Product, Data Acquisition, Solutions, and Technology teams to identify and prioritize opportunities that enhance existing products and support new offerings.
• Drive enterprise data quality initiatives by identifying improvement opportunities and implementing best practices across data management processes.
• Support data onboarding, cataloging, and analysis activities within the OneTru platform.
• Establish and maintain standards for data governance, data lineage, access controls, and lifecycle management.
• Lead cross-functional initiatives that influence data investment decisions and enterprise data strategy.
• Coach, mentor, and develop team members while fostering a culture of innovation, accountability, and continuous improvement.

Data Analysis Manager

• Utilize Jupiter within the Advana platform to integrate and utilize naval data across readiness pillars.
• Ability to create reports, dashboards, and data sets for collaboration internally and externally of the organization.
• Ability to bring multiple data sources together, perform data cleanup, shaping, and modeling to produce visualizations and reports that support and enable actionable insights.
• Assist in the collection of data, conduct analytical reviews, and make recommendations for improving Equipment Readiness policies.
• Assist in the promulgation of software development requirements for Readiness Reporting and cost models for NECC and OPNAV on NECC’s behalf.
• Perform analysis of raw data and provide decision-supporting products such as historical trends, reports, graphical data presentations, and recommendations.
• Assist with and/or independently perform quantitative analysis of financial, materiel inventory and materiel assessments data against risk management problem set.
• Utilize mathematical and statistical methods to provide the value of materiel solutions required to increase combat power and readiness from the force down to the individual unit level.
• Assist with and/or independently prepares economic analysis of NECC force wide materiel asset requirements, commonly referred to as Table of Allowance (TOA) and TOA inventory, including conducting research of historical cost data of TOA maintenance, replacement and technical refresh for NECC units (Tables of Allowance).
• Analysis of current resource utilization and projection of future resource requirements for segments (sections) of materiel; and research and completion of routine and/or continuing cost studies.
• Participate in the development of procurement plans and program objectives by evaluating cost/readiness tradeoffs, budget requirements/constraints, etc.
• Assist with and/or independently perform special assignments in keeping with the Materiel Readiness strategic objectives, such as cross-functional team initiatives and force readiness improvement initiatives. Includes administrative assignments to develop knowledge of the mission and organization of the force material readiness community.

Data, Reporting Analyst

• Apply quantitative methods and techniques to manage, analyze, and interpret research data.
• Construct, clean, and document large datasets for both internal use and project-specific needs.
• Create customized, presentation-quality reports based on data analysis results.
• Contribute to the design and methodology of research studies.
• Manage administrative components of projects to ensure smooth execution.
• Assist in the preparation of technical procedures, documentation, and reports.
• Write, compile, and edit assigned sections of proposals and project deliverables.
• Review work products to ensure accuracy, clarity, and consistency of content.

Medicaid and Prescription Drug Data Analyst

• Support Army logistics enterprise systems through SAP functional support, data analysis, and business process improvement initiatives.
• Conduct research and analysis to evaluate enterprise data, business processes, system performance, and operational trends.
• Collect, consolidate, validate, and analyze information from multiple enterprise data sources to support executive decision making and program recommendations.
• Develop executive-ready briefings, reports, decision papers, presentations, and analytical products supporting Army logistics initiatives.
• Support SAP-enabled business processes by identifying data quality issues, analyzing system performance, and recommending process improvements.
• Coordinate activities and recommendations across multiple Army organizations and stakeholders to improve enterprise data management and operational effectiveness.
• Monitor project activities, milestones, deliverables, and action items to ensure timely execution.
• Facilitate meetings, working groups, and collaborative planning sessions while documenting decisions and tracking follow-up actions.
• Synthesize complex operational and analytical information into actionable recommendations that improve data quality, business processes, and mission performance.
• Develop performance metrics, dashboards, and analytical products to support leadership visibility and informed decision making.
• Support enterprise data governance, reporting initiatives, system modernization, and integration activities, as required.
• Support business development activities, including market research, proposal support, solution development, and client engagement, as required.
• Perform additional consulting, analytical, and project support activities as assigned.

Data Analyst – Clearance Required

• Help turn complex data sets into useful information to solve global challenges
• Responsible for UI design, development, quality control, and maintenance of BI dashboards
• Use analytical skills and data science knowledge to create real-world impact
• Work closely with clients to understand their questions and needs
• Find pieces of information puzzle within data-rich environments
• Turn sets of disparate data points into objective answers for informed decisions

Senior Data Visualization Analyst

• Collect, organize, and maintain sustainability program data from online initiatives and engagement activities.
• Track participation, engagement, and learning outcomes related to sustainability programs for online students.
• Assist with creating surveys, forms, and assessment tools to gather feedback and measure program effectiveness.
• Analyze data and identify trends, opportunities, and areas for improvement.
• Develop dashboards, reports, infographics, and data visualizations that communicate program impact.
• Support the collection and analysis of data for annual sustainability reports and strategic planning initiatives.
• Research sustainability benchmarks, best practices, and emerging trends relevant to higher education and online engagement.
• Collaborate with other Eco Reps to evaluate the effectiveness of campaigns, events, workshops, and educational programs.
• Present findings and recommendations to the Office of Sustainability staff and student teams.
• Maintain accurate records and documentation of sustainability-related metrics and outcomes.
• Assist with measuring participation in sustainability challenges, online learning opportunities, and virtual engagement initiatives.
• Support data-informed decision-making by providing actionable insights and recommendations.
• Monitor engagement metrics for online sustainability programming, newsletters, social media campaigns, webinars, and virtual events.
• Analyze participation patterns among online students to identify opportunities for increased engagement.
• Evaluate the effectiveness of virtual sustainability education initiatives and recommend improvements.
• Assist in developing metrics that capture the impact of sustainability programs on online learners.
• Support virtual focus groups, surveys, and feedback collection efforts.
• Compile monthly and semester impact reports.
• Track sustainability engagement goals and key performance indicators (KPIs).
• Assist with data collection for STARS reporting and other institutional sustainability assessments.
• Create visual summaries and presentations that communicate results to campus stakeholders.
• Support the development of data-driven recommendations for future sustainability initiatives.

Data Analyst jobs in Virginia

See all jobs on JobTailor