Top Data Analyst Jobs

Ensure accuracy, integrity, and regulatory compliance of program data through audits, reporting, documentation, and risk identification. Support client implementations, prepare compliance reports, maintain policies and SOPs, stay current on federal program regulations, and assist with internal and external audits.

Build and maintain Finance reporting (Power BI), data models and warehouse connections; deliver ad-hoc financial analysis; validate cross-functional reports; support month-end close and automate reporting and close processes to reduce manual work and risk.

Lead delivery and evolution of scalable data products for marketing and enterprise analytics. Build and modernize data pipelines, integrate high-volume datasets, analyze trends, and produce actionable insights. Partner with stakeholders to translate needs into data solutions, ensure data quality and compliance, document products, monitor usage and performance, and support user adoption during cloud migration efforts.

Entry-level development program for recent graduates to gain hands-on experience across Technology, Operations, Digital, and Data. Rotations may include software engineering, cloud/infrastructure, cybersecurity, data & analytics, or financial crimes, with emphasis on technical and analytical skill development, teamwork, and professional growth.

Build, QA, and maintain custom audience segments and automations; run complex SQL to extract, analyze, and validate large datasets; ensure data quality and policy compliance; manage requests end-to-end in Salesforce; troubleshoot and document technical issues; advise stakeholders on audience design; contribute to process and tooling improvements across global teams.

Assess and document metadata and data quality across DCF data architecture. Perform data profiling, analysis, and documentation, identify data quality issues, and support metadata discovery; collaborate with stakeholders and produce data quality assessments. Human Services BI experience desirable.

Lead delivery and standardization of commercial data governance: triage data quality, interpret controls, drive systemic fixes, lead cross-functional workstreams, advise stakeholders, and mentor analysts to increase data confidence.

Partner with stakeholders and data engineers to design, validate, and deliver data solutions. Develop and optimize SQL queries, perform data profiling and quality testing, document data models and mappings, troubleshoot data issues, and produce actionable analytics and reports. Promote data governance, metadata management, and continuous improvement, including leveraging AI tools to streamline analytics.

Lead development of scalable audience and measurement products across brands and platforms. Build dashboards, KPI frameworks, and analyses to quantify content discovery, AI-driven consumption, identity resolution, and advertising effectiveness. Partner with Product, Engineering, and business stakeholders to translate large-scale data into actionable insights and drive enterprise decision-making.

Lead data cleansing, validation, and certification for ERP data conversion. Produce auditable validation results, triage and resolve data issues, document evidence for certification, and collaborate with cross-functional teams to ensure data quality throughout the conversion lifecycle.

Lead eCommerce analytics by building dashboards and self-serve reports, measuring funnel and revenue impact, performing deep-dive analyses, integrating and validating multi-source data, defining KPI standards, supporting experimentation, using AI-assisted tools to automate reporting, and communicating insights to web, marketing, and commerce stakeholders.

Lead design and implementation of data architecture, ETL/ELT pipelines, and data models. Build dashboards (Power BI/Tableau), define performance metrics, ensure data quality and lineage, automate reporting, mentor junior analysts, present findings to stakeholders, and document processes. Onsite support in Frederick, MD with required business-hours availability.

Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.

Serve as liaison between Risk Management and IT to design data architecture, perform data modeling, QA/UAT, translate business needs into technical requirements, and deliver analytics and process automation recommendations to improve risk information systems.

Lead development of customer-facing analytics and internal dashboards by building advanced SQL models, optimizing visualizations, and maintaining data models. Drive analytics priorities, improve team processes, present findings to leadership, and participate in agile planning and peer review to support product, operations, and commercial teams.

Lead enterprise data analysis and governance: elicit requirements, define KPIs, maintain logical data dictionary and data lineage, validate and curate data, design ETL/data integration needs, produce dashboards and actionable insights, drive automation/AI-first improvements and mentor junior team members.

Lead enterprise data governance by defining metadata, CDEs, data quality rules, and catalog/lineage. Partner with stewards, owners, IT and business stakeholders to monitor data quality, automate governance workflows, certify reports, and implement governance tooling (e.g., Collibra). Ensure PII handling, document processes, train users, and drive continuous improvement.

Lead Data QA for the Enterprise Data Warehouse: define QA strategy, design and execute source-to-target validations, CDC and ETL checks, data masking verification, build quality dashboards and automations, mentor QA analysts, manage defects and release readiness, and collaborate with Data Engineering, BI, Product, and stakeholders to ensure data is accurate, complete, and audit-ready.

Manage bibliographic and holdings data lifecycle: ingest, normalize, enrich, match, and troubleshoot data quality issues. Support automated pipelines, use Power BI for monitoring, apply AI-assisted tools for record matching, document workflows, and coordinate with vendors while learning scripting and cloud data concepts under regular supervision.

Lead marketing analytics for clients by transforming data into dashboards and stories, building measurement frameworks, conducting consumer and competitive research, and applying media measurement methods (MMM, MTA, experiments) and statistical techniques to inform media budget and channel allocation.

Translate business needs into data solutions: analyze, profile, wrangle, visualize, and map data flows. Build dashboards/reports (Power BI, Tableau, MicroStrategy, Paxata), support self-service analytics, apply secure engineering practices, and collaborate with stakeholders to improve data quality and reporting.

Ensure quality, consistency, and governance of enterprise master data through data analysis, reporting, and collaboration. Perform data mining, identify quality issues, develop dashboards, run system queries, maintain data, support supplier outreach, and meet SLAs while supporting business initiatives and process improvements.

Deliver structured reporting, dashboards, and analytics to support executive and project decision-making. Prepare KPIs, design visual reports, automate data collection, ensure data quality, and collaborate cross-functionally to develop scalable BI solutions and actionable insights from large, multi-source datasets.

Lead client implementations for enterprise investment data services: gather requirements, define data ingestion/enrichment/validation standards, perform data analysis and mapping, support testing, document specifications, guide reference data setup, and drive enhancements across front-, middle-, and back-office data domains.

Work on supply-side product and business analytics for direct accommodation contracts. Build and automate reporting, analyze internal/external data, design prioritization/segmentation and predictive algorithms, and partner with product, commercial, and international teams to improve supplier performance and guide strategic decisions.