Top Analysis Reporting Jobs in Washington, DC

Conducts advanced statistical analysis for market research studies, including survey and secondary-data cleaning, regression, ANOVA, experimental design, multivariate modeling, and causal analysis. Uses statistical and business software to automate procedures, create outputs, interpret findings, and communicate insights to internal teams, clients, and nontechnical stakeholders. Supports projects from analytic planning through analysis and presentation while ensuring accurate, timely deliverables.

Develops data algorithms and systems, analyzes structured and unstructured sources, maintains data management tools, and applies statistical, qualitative, and quantitative methods to deliver actionable insights. Collaborates with clients in data-rich environments to interpret information and support informed decisions. The role requires R or Python, data cleansing and parsing, scientific analysis methods, and an active TS/SCI clearance with CI polygraph.

Analyzes complex structured and unstructured datasets to generate insights, metrics, visualizations, and recommendations for national security clients. Develops data methodologies, cleans and transforms data, builds and validates statistical models, and presents findings to stakeholders. Requires expertise in Python, data visualization, protected data, ethical AI, and collaboration with cross-functional teams.

Analyzes digital product performance across web properties using Adobe Analytics, Google Analytics, tagging systems, statistical modeling, and data visualization. Develops measurement requirements, tracking specifications, dashboards, and actionable insights for product and marketing teams. Troubleshoots tags and data collection, supports experimentation and quality assurance, establishes analytics standards, and mentors analysts while communicating findings to stakeholders.

Analyze Medicare and Medicaid datasets, design analytical approaches, review R and SAS programming, build healthcare financial models, and translate complex findings into visualizations, presentations, publications, and policy recommendations. The role manages multiple consulting projects, collaborates across teams, presents results to clients, and supports healthcare policy and business decisions.

Conduct theoretical and empirical research in mortgage finance, including residential property valuation, home price index estimation, and forecasting. Apply statistical, mathematical, econometric, data mining, and programming techniques using SQL, R, and Python. Develop and validate quantitative models, assess model risk and performance, interpret results, and provide business recommendations. Communicate technical findings through presentations, white papers, review reports, and work papers.

Lead data architecture and database operations for ACWS. Develop and maintain data pipelines, mappings, integrations, and reporting feeds; support migration, transformation, validation, reconciliation, and data quality management. Coordinate requirements across BI, application, architecture, and database teams. Document data flows and transformation logic, and recommend improvements to reliability, automation, analytics readiness, and governance.

Supports an IT portfolio within a PMO by analyzing controls, identifying process improvements, creating dashboards and reports, documenting requirements, and coordinating stakeholders across IT, Finance, and Acquisition. The role performs process gap analysis, supports compliance monitoring, manages SharePoint and Jira/Confluence environments, facilitates meetings, and recommends technology and product improvements. It requires strong business analysis, communication, reporting, Agile, cloud, and systems lifecycle knowledge.

Designs and maintains scalable data pipelines and platforms using Databricks and cloud technologies. Responsibilities include ETL development, data modeling, automation, CI/CD, lakehouse implementation, dashboard enhancement, and advanced analytics using LLMs and AI to improve grant oversight and detect fraud, waste, and abuse. The role collaborates with architects, stakeholders, and federal government clients to support data-driven decision-making.

Own data quality and operational reliability across Snowflake data pipelines. Responsibilities include monitoring jobs, managing incidents, maintaining runbooks, administering Monte Carlo, creating data quality checks and dashboards, validating bordereau and financial data, supporting UAT and integrations, analyzing trends, and partnering with engineering and business stakeholders to resolve data issues and improve processes.