Top Analysis Reporting Jobs in Washington, DC

Architect and build high-scale product telemetry and lakehouse data solutions. Lead cross-functional initiatives, implement data contracts, enforce data quality, lineage, governance, and mentor senior engineers to drive reliable, scalable product analytics.

Perform forensic data analysis and fraud detection using SQL, Python/R, ML, big-data tools and visualization. Develop detection models/rules, evaluate anti-fraud tools, manage engagements, communicate findings to stakeholders, and lead project teams in investigations and compliance remediation.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

The Senior Business Information Architect leads the enterprise's information landscape through strategic architecture, metadata management, and collaborative governance while ensuring alignment with business requirements and regulatory standards.

Develop and design data pipelines, optimize data delivery and automate processes to support end-to-end solutions in various settings.

Lead and support data analytics project delivery for a federal client: oversee project plans, budgets, schedules, ETL and data pipelines, act as client liaison, produce PMO documentation and dashboards, improve processes and data quality, and coordinate across finance, acquisition, technical teams to ensure contractual compliance and program performance.

The Business Analyst will review medical records, submit appeals to insurers, analyze data, prepare reports, and lead projects.

Design, build, and maintain cloud-native ETL/ELT pipelines on AWS. Implement transformations with Python, PySpark, or SQL; orchestrate workflows; optimize storage (S3, Redshift, RDS, DynamoDB); enforce data quality, security, and monitoring; collaborate on CI/CD and infrastructure-as-code; troubleshoot production issues.

Support enterprise technology asset inventory and lifecycle management, maintain inventory platforms, enforce data quality and QA, analyze inventory data and report KPIs, liaise with stakeholders, create documentation/SOPs, and enable BI reporting and data standardization.

Lead development, collection, maintenance, and reporting of assigned data assets and standard collections. Build and maintain ETL, databases, checks, and reports; ensure data quality and security; mentor junior staff; collaborate with IT and stakeholders; serve as data steward and respond to data requests.