Top Analysis Reporting Jobs in Washington, DC

Lead payer analytics engagements that transform claims, membership, and operational data into actionable insights. Manage project planning, budgets, timelines, deliverables, and client workstreams while coaching analytics teams. Apply statistical analysis, predictive modeling, machine learning, SQL, dashboards, and data visualization to healthcare payer challenges. Validate data quality and analytic outputs, translate modernization needs into solutions, and guide compliance with healthcare data standards and payer regulations.

Analyzes financial risk data and develops data transformation, reporting, dashboard, and visualization solutions for banking and capital markets clients. Supports quantitative analytics involving capital, liquidity, credit risk, and asset-liability management. The role also includes client collaboration, quality review, mentoring junior staff, process improvement, and automation of data movement and reporting.

Leads payer healthcare data engineering and analytics initiatives, designing pipelines, data models, and interoperability frameworks for claims, membership, and provider data. Directs large technical programs, advises clients on data architecture and modernization, validates data quality and HIPAA controls, applies statistical and machine learning methods, coaches technical teams, and presents actionable recommendations to stakeholders.

Build and own Finance data models covering ledgers, settlements, transactions, invoicing, fees, and collateral. Reconcile internal and external systems, investigate discrepancies, support month-end close and audits, automate reporting, implement data quality tests, define reusable financial metrics, and create self-service reporting. Partner with Finance, Accounting, data, and platform engineering teams to maintain trusted, documented data systems.

Manages business process design, requirements, metrics, workflow improvements, program evaluation, and enterprise CRM system support. Develops user stories and process documentation, coordinates Agile work through Kanban, conducts user acceptance and system testing, administers CRM access, evaluates risks, and prepares reports, decision papers, and leadership briefings. Collaborates with stakeholders, information technology teams, and contractors to support controlled system changes and organizational performance improvements.

Analyze Medicaid and T-MSIS data to implement CMS payment model functions, including attribution, payment calculations, and quality measurement. Translate policy into specifications, SQL code, analytic files, and documented methodologies. Assess cross-state data quality, link Medicaid and Medicare sources, perform quality assurance, reconcile results, and communicate findings to technical and non-technical audiences. The role also involves code review, knowledge sharing, and supporting federal healthcare consulting engagements.

Own and maintain dbt data models across design, testing, deployment, monitoring, and documentation. Translate ambiguous Marketing and Product needs into reliable data solutions, write design documents, support production issues, create runbooks and schema documentation, and coach junior engineers. The role uses SQL, Python, Snowflake, dbt, Dagster, and AWS while partnering closely with Marketing, Data, and MarTech teams.

The Deployment Strategist collaborates with teams to deploy software solutions, analyze data, and train customers while addressing complex operational challenges.

Designs, executes, and analyzes AI-powered qualitative and quantitative opinion research. The role manages survey methodology, sampling, fieldwork, analysis, synthesis, reporting, client presentations, project budgets, and timelines. It also pilots AI applications, collaborates on intelligence platforms, translates data into strategic narratives, mentors junior staff, and supports proposals and business development.

Administer and optimize enterprise Microsoft SQL Server environments, including installation, configuration, performance tuning, security, backups, recovery, maintenance, upgrades, and high availability. Diagnose complex production issues, support migrations and deployments, collaborate with developers and infrastructure teams, monitor capacity and performance, and maintain technical documentation and operational procedures.

Leads the Enterprise Control Tower technical team and develops the enterprise data foundation supporting AI applications. Responsibilities include creating data products and ontologies, managing technical requirements and governance, overseeing engineering operations, mitigating technical risks, managing budgets and staffing, building stakeholder relationships, and hiring and developing architects and engineers. The role requires strategic leadership, enterprise data platform ownership, and delivery of measurable business value.

Analyzes, interprets, organizes, and visualizes large datasets for agency personnel and stakeholders. Responsibilities include collecting data, producing reports, charts, and Power BI dashboards, managing data compilation and archiving, entering data into databases and spreadsheets, and supporting ad hoc analysis projects. The role requires an active Top Secret clearance, a bachelor's degree, at least five years of data analysis experience, and proficiency with Excel, Power BI, or similar tools.