Top Analytics Jobs in Washington, DC

Designs and delivers data-driven solutions for consulting engagements involving business transformation, private equity, litigation, investigations, compliance, and AI. Builds data pipelines, models, analytical workflows, dashboards, predictive models, and AI-enabled tools using SQL and Python. Analyzes complex datasets, communicates findings to clients and legal experts, manages priorities, guides junior staff, supports defensible analyses, and contributes to reusable methodologies and business development.

Build and maintain production data models while migrating workflows from Alteryx to dbt. Manage Redshift pipelines with Dagster or Airflow, create Tableau dashboards, and translate technical data into business insights for Revenue Operations. Explore AI, LLMs, predictive analytics, and SageMaker use cases such as churn prediction and lead scoring. Collaborate with Sales, Marketing, Customer Experience, Product, and Engineering stakeholders.

Leads Biomedical Services analytics data modeling, automation, data products, governance, and engineering teams. Establishes modeling standards, drives process improvements, manages analytics portfolio prioritization and delivery, and translates business strategy into scalable data solutions. Partners with business and technology leaders to ensure reliable, secure, compliant, and high-quality enterprise data assets. Requires substantial technical leadership, people management, cross-functional delivery, and experience in regulated environments.

Develop and maintain Power BI dashboards, reports, data models, and visualizations supporting commercial sales decisions. Translate business requirements into scalable analytics solutions, improve forecasting and performance reporting, troubleshoot data and reporting issues, validate releases, and maintain DataMart reliability. Partner with sales leaders, business analysts, stakeholders, and technical teams while following governance and development standards.

Supports public-data research, cleaning, validation, analysis, Tableau dashboards, state factsheets, program evaluation, grant reporting, and constituent data operations. Maintains Raiser's Edge NXT records, performs imports and cleanup, reviews data quality, prepares donor lists, and communicates findings to technical and nontechnical audiences.

Own revenue forecasting models, pipeline analytics, and commercial performance insights across a global flexible-workspace network. The role integrates data from Salesforce, Looker, Snowflake, and spreadsheets; analyzes pricing, conversion, sales velocity, unit economics, and marketing and sales efficiency; partners with Finance and commercial leaders on budgets and planning; and communicates findings through actionable memos and presentations.

College interns support workforce analytics and research by compiling, reviewing, and analyzing data; preparing management, operational, technical, and administrative reports; creating presentations and data visualizations; researching information; identifying report issues; recommending solutions; and participating in training, meetings, and departmental projects.

Leads marketing analytics for global clients by developing measurement frameworks, integrating data, generating consumer insights, and evaluating cross-channel performance. Partners with creative, media, strategy, planning, and business intelligence teams to guide marketing and communications decisions. Oversees, mentors, and develops analysts while managing multiple client-facing workstreams and applying storytelling and data visualization to business challenges.

Leads enterprise data analytics, business intelligence, reporting, governance, and performance management initiatives. Develops data strategies, integrates information from enterprise systems, builds executive dashboards and KPI reporting, performs forecasting and trend analysis, and identifies automation and AI opportunities. Provides strategic insights for leadership decisions and manages data management and reporting teams in DHS or DoD environments.

Develop scalable data pipelines, high-performance SQL queries, reports, dashboards, and analytics solutions for a federal law enforcement client. Integrate disparate data sources, use relational and cloud databases, support evolving stakeholder requirements, and communicate technical solutions to clients and cross-functional teams. The role also involves data governance, quality improvement, mentoring, technical leadership, and consulting engagement. Employment is contingent upon contract award and requires U.S. citizenship plus eligibility for DHS 6C Public Trust.

The Compliance Data & Analytics Manager develops AI and automation prototypes, integrates disparate data sources, builds Python and SQL analytics workflows, and creates web applications and automated alerts for compliance risk intelligence. The role partners with Legal, Finance, Regulatory Affairs, data science, and business intelligence teams to improve risk models and translate regulatory requirements into actionable analytical solutions.

Analyzes digital performance across websites, email, social media, and other platforms. Builds data systems, dashboards, reporting tools, and measurement frameworks; manages data transformation and quality; conducts statistical analysis, forecasting, personalization, and A/B testing; and translates findings into actionable communications and content recommendations. Presents insights to stakeholders, establishes benchmarks, supports audience research, and trains teams on analytics trends and effective communication strategies.

Lead and scale Ticketmaster’s product experimentation program by establishing governance, standards, onboarding, and measurement practices. Configure and monitor Optimizely experiments, design statistically rigorous A/B and multivariate tests, analyze results, and translate findings into product recommendations. Define digital metrics, identify fan-experience opportunities, build self-service analytics resources, and partner with Product, Design, Engineering, Research, and Analytics teams to support data-informed decisions.

Manage data ingestion pipelines, validate data integrity, troubleshoot data issues, conduct ad hoc investigations, and support data needs across business units. The role requires advanced SQL analytics, documentation, stakeholder communication, and collaboration. Preferred skills include Python automation, data pipeline monitoring, Azure or AWS, Git, CI/CD, and healthcare EDI standards.

Build targeted donor lists using Grassroots Analytics’ database, fulfill client data requests, provide targeting recommendations, and support fundraising strategists with campaign and nonprofit onboarding, training, and client communications. The intern will also assist with internal projects and develop relationships across departments. This is a full-time, in-office internship in Washington, D.C., running January 25 through April 16, 2027.

Lead data analytics initiatives supporting federal program performance management and leadership decision-making. Develop advanced analytics solutions, integrate data from SAM, FSMS, and SharePoint, create dashboards and performance metrics, ensure data accuracy and federal compliance, and provide insights to improve operational efficiency. The role requires on-site work in Washington, D.C., prior DHS or DoD experience, and extensive data analytics experience.

Lead strategic data analytics within Deals, applying advanced analytics, visualization, and statistical modeling to solve client problems. Oversee multiple projects, maintain executive client relationships, drive business development, mentor teams, and promote data integrity, innovation, and thought leadership to support firm growth.

Leads data collection, modeling, analysis, performance measurement, program evaluation, dashboards, reporting, and modernization initiatives for the VA Transition Assistance Program. Integrates quantitative and qualitative information from VA, military, Department of Labor, and other interagency sources to identify gaps, evaluate pilots, develop performance metrics, and provide actionable recommendations. Prepares executive briefings and coordinates analytics activities with government and program stakeholders.

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.

Build and maintain ETL/ELT pipelines, explore and clean complex customer data, and deliver trusted analytics products, reports, visualizations, and AI-powered data capabilities. Partner with customers and internal teams to define data requirements, investigate discrepancies, validate AI/ML outputs, implement quality controls, and improve data tooling through automation. Translate complex findings and workflows into clear narratives and repeatable processes.

Leads Wiley Research’s commercial analytics strategy, including KPI frameworks, executive dashboards, competitive intelligence, performance measurement, data governance, and scenario modeling. Advises executive and board-level leaders, aligns Finance and commercial reporting, consolidates fragmented data practices, and builds a trusted analytics capability across global teams. The role also develops analytical talent, drives self-service reporting, and translates complex findings into strategic decisions concerning growth, retention, investment, and market performance.

Designs, develops, enhances, and supports Oracle Fusion Cloud reporting solutions and FDI-aligned components. Builds reports using OTBI, BI Publisher, Financial Reporting Studio, Oracle Analytics, SQL, and custom data models. Translates functional requirements into technical designs, troubleshoots reporting issues, optimizes performance, and ensures data integrity, compliance, and alignment with business needs. Collaborates with functional leads, architects, integration teams, data conversion teams, and client stakeholders.

Deliver dashboards, data visualizations, analytics products, and automated reporting workflows for DHS policy leadership. Clean and transform data using Python or R, integrate multiple systems, document processes, gather stakeholder requirements, validate metrics, and present findings to nontechnical audiences. The role also supports analytics governance, standards, and scalable decision-making frameworks using Tableau, Power BI, Power Automate, and related cloud analytics tools.

Develop and manage data pipelines, integrations, analytics solutions, ontologies, business object models, and enterprise data architectures using Palantir Foundry. The role supports data governance, quality, lineage, operational workflows, technical solution design, and cross-functional collaboration with technical and business stakeholders. Federal or Department of Defense experience and Agile experience are preferred. A DOD Secret clearance is required.

Leads the program’s data and analytics capability, developing financial and operational analyses, data-quality practices, cost models, dashboards, and executive visualizations. The role supports billing methodologies, anomaly and trend identification, Government requests, and repeatable analytical processes. It requires translating complex data into actionable findings and documenting assumptions and data sources, with preferred experience in federal financial management, cost allocation, predictive modeling, and federal financial systems.