Top Data & Analytics Jobs

Performs data analysis, cleans and validates data, identifies trends and anomalies, builds dashboards and reports, and supports KPI development. Collaborates with engineers and business stakeholders to improve data quality, pipelines, reporting requirements, and analytical processes. Leads data-driven change management, communicates insights, shares best practices, and may support urgent IT incidents.

Performs data analysis, statistical analysis, dashboard and report development, KPI measurement, data quality monitoring, and data modeling support. Collaborates with engineers and business stakeholders to define reporting requirements, improve data pipelines, communicate insights, and guide data-driven process and tooling changes. Provides peer coaching and may support urgent IT incidents.

Processes federal FOIA requests from intake through final response, including records review, exemptions, redactions, and deadline tracking. Collects, validates, and analyzes FOIA workload data using Excel pivot tables, charts, graphs, and trend analysis. Identifies backlogs, aging, processing trends, and data discrepancies, then prepares reports and presentations for leadership. Coordinates with agency personnel, safeguards sensitive information, and supports improvements to tracking and reporting processes.

Own data quality, reporting, process analysis, and issue resolution for Defined Benefits pension administration. Use SQL and advanced Excel to investigate discrepancies, validate results, support actuarial valuation initiatives, and provide stakeholder insights. Lead client and system changes from discovery through go-live, maintain requirements and process documentation, coordinate testing, and mentor junior team members.

Paid, full-time data analyst internship supporting business planning and data operations. Responsibilities include documenting data definitions, business rules, and data quality requirements; integrating data from multiple sources; completing roadmap projects to improve process efficiency; and identifying data-driven strategies to enhance business performance. Interns also participate in professional development, networking, mentorship, community service, and final presentations.

Designs and manages workforce surveys, facilitates focus groups, cleans and analyzes qualitative and quantitative data, and develops dashboards, visualizations, and executive presentations. Partners with stakeholders to identify trends, workforce insights, and organizational effectiveness opportunities. Supports longitudinal analysis and uses AI-enabled tools and large language models to analyze open-ended responses. Requires an active TS/SCI with Polygraph clearance and extensive advanced data analytics experience.

Develops dashboards, data models, reports, and analytical solutions that transform raw data into actionable business insights. Partners with stakeholders, provides technical guidance, documents architectures and processes, troubleshoots analytics solutions, and communicates findings to technical and non-technical audiences. Requires advanced Spotfire, SQL, business intelligence, and data analytics expertise, with knowledge of Databricks, Power BI, Python, R, Salesforce, and modern data architecture.

The Data Analyst conducts epidemiologic analysis, program monitoring, and evaluation for the ETHIC public health program. Responsibilities include developing data collection and reporting systems, analyzing HIV, STI, HCV, and related data, preparing dashboards and grant reports, creating visualizations, identifying trends and service gaps, and recommending program improvements. The role collaborates with Tribal, federal, state, and local partners and requires proficiency with statistical, database, and visualization tools.

The IAR Data Analyst extracts, processes, analyzes, and reports on large datasets to generate actionable insights. Responsibilities include building dashboards, performing ad hoc and statistical analyses, supporting ETL and data pipelines, ensuring data quality, and communicating findings through data storytelling. The role partners with Data Engineering, Product, Marketing, Finance, and other stakeholders to analyze customer journeys, marketing funnels, engagement, conversion, and program performance.

Own Netic’s go-to-market data foundation by defining account and contact standards, building TAM and data-quality models, maintaining territory and routing data, and creating enrichment, validation, dashboards, and alerts. Analyze conversion, coverage, and segmentation questions while automating recurring cleanup processes. The role requires strong SQL, spreadsheet modeling, Salesforce data expertise, and operational ownership of accurate B2B revenue data.

Analyzes sales and distribution channel performance, develops Power BI dashboards and executive reports, evaluates sales incentive plans, and provides data-driven recommendations. Partners with Sales, Finance, Human Resources, and product stakeholders to define metrics, monitor trends, assess compensation outcomes, and improve strategic decision-making. Ensures accurate, accessible reporting and translates complex data into actionable business insights.

Leads complex analytics and research initiatives, using advanced SQL, statistical methods, forecasting, data modeling, and BI tools to generate actionable insights. Partners with engineering and university stakeholders to resolve data quality issues, build data pipelines and products, create executive-ready visualizations, and influence strategic decisions. Mentors analysts and promotes organization-wide data visualization and analytics best practices.

Analyzes and interprets data to identify trends, optimization opportunities, and product insights. Manages data sources and pipelines, validates metrics, and creates Power BI dashboards and reports. Partners with executives and cross-functional stakeholders to define analytics requirements, establish KPIs, prioritize business needs, and translate findings into actionable decisions. The role also analyzes user behavior and designs data flows supporting product performance reporting.

Supports organizational decision-making by collecting, validating, analyzing, and reporting pharmacy, operational, clinical, and financial data. Builds dashboards and reports in InsightRx, performs data quality checks, supports research, compliance, audits, and accreditation activities, documents reporting processes, and provides basic user training. Collaborates with cross-functional teams to translate data into actionable insights.

Collects, cleans, transforms, and analyzes structured and unstructured data; builds basic statistical and machine learning models; creates dashboards and visualizations; documents data processes and findings; and supports data-driven decisions while developing foundational analytics and data science skills.

Analyzes federal program data, develops leadership dashboards, performs data quality checks, streamlines data preparation using R scripts and macros, and communicates findings. The role also documents survey procedures, implements technology best practices, supports stakeholders, and performs business, systems, and data analysis with limited supervision in a hybrid Arlington, Virginia environment.

Develop and support SAP BRIM data migration solutions using BODS and EMIGALL. Responsibilities include source-to-target mapping, ETL development, data cleansing, validation, reconciliation, migration testing, SAP integrations, SQL analysis, production support, documentation, and cutover activities. The role collaborates with architects, functional consultants, infrastructure teams, and business stakeholders while supporting SAP S/4HANA, FICA, billing, and customer account migrations.

Supports clinical and translational research through data management, quality audits, dataset integration, statistical analysis, dashboards, visualizations, and sponsor reporting. The role compiles and validates research data, maintains repositories and documentation, performs ad hoc analyses, and communicates findings to investigators, biostatisticians, research coordinators, institutional stakeholders, and federal sponsors.

Analyzes large and complex datasets to develop metrics, dashboards, reports, forecasts, statistical models, and actionable business recommendations. Supports strategic and operational decision-making, conducts scenario and machine learning analyses, and uses AI tools to automate recurring analytics. Collaborates with Marketing, Finance, Operations, product teams, and business leaders to identify data-driven improvements and communicate insights clearly.

Analyzes and reconciles immigration and detainee movement data using the Inmate Information System. Verifies detainee statuses, investigates facility assignment and count discrepancies, corrects records, and prepares daily, weekly, monthly, and quarterly reports. Coordinates reporting with ICE, legal, municipal, and other designated agencies, performs SCOC data entry, communicates updates to supervisors, and supports emergency analytical tasks.

Analyze reinsurance data and business processes, gather requirements, create data mappings and flow diagrams, and support FAIRR Data Hub solutions. The role validates data quality, governance, reconciliation, and technical specifications while partnering with business, technology, architecture, engineering, and governance teams. It also contributes to reporting, AI-enabled analytics, solution testing, stakeholder communication, and mentoring junior analysts.

Conduct advanced data analysis, forecasting, dashboard creation, and reporting to support strategic and operational decisions. Integrate data sources, establish data definitions and quality requirements, identify trends and improvement opportunities, and communicate actionable insights to management and stakeholders. The role also drives reporting and data-quality improvements through audits and analysis.

Leads product analytics and business intelligence initiatives across enterprise data teams. Develops data solutions, dashboards, metrics, and visualization tools; analyzes complex data to inform business strategy and product decisions; and supports data quality, metadata, lineage, access governance, and monitoring. Collaborates with Product, Technology, Design, Risk, and business stakeholders while using Python, R, Spark, SQL, Snowflake, and cloud technologies.

Maintains accurate records across spreadsheets, databases, and internal systems. Reviews and verifies information, identifies discrepancies, organizes digital files, updates records, prepares simple reports, and supports basic research. The role requires strong attention to detail, confidentiality, reliable independent work, and proficiency with spreadsheet and document-management tools in a remote environment.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.