Top Analytics Jobs in Washington, DC

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Lead data analysis for merchants, manage projects to improve product and acquisition strategies, and communicate insights effectively.

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.

Lead design and execution of enterprise information governance: records and lifecycle management, retention, defensible disposal, policy translation, training, compliance (GDPR/cross‑border), and operationalizing IG controls across systems (M365, collaboration tools). Support audits, eDiscovery, data classification technology deployment, and align IG with privacy, security, AI, and digital initiatives.

Support product, content, and revenue teams by building and maintaining dashboards, performing ad hoc analyses of user engagement and monetization, validating data quality, and analyzing A/B test results to translate findings into clear insights that inform product and business decisions.

Lead stakeholder intelligence and behavioral analysis for federal programs. Manage analysts and social listening tools, produce executive briefings, dashboards, and actionable recommendations. Apply qualitative and quantitative methods, develop segmentation and personas, integrate AI/LLMs, and advise leadership to inform communications and engagement strategies.

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.

Lead a team of analysts to manage SharePoint-based data tracking, credentialing/vetting and PSD workflows, develop executive dashboards and briefings, analyze operational metrics, improve data governance and processes, and coordinate stakeholders in a federal mission-support environment.

Support federal program financial operations by preparing requisitions and payment reports, tracking payment packets and obligations, updating SharePoint, managing shared inboxes, performing financial data analysis, and building Power BI dashboards to improve funding visibility and support budget planning and stakeholder decision-making.

Support CBP Power Platform by developing and maintaining Power BI dashboards, cleaning and analyzing data, managing Excel/SharePoint/SQL data structures, building ETL processes to migrate legacy data to modern databases, and replacing legacy ETL tools with Power Automate. Present findings to stakeholders.

Consulting role delivering analytics, BI, and low-code solutions for Homeland Security and federal law enforcement. Duties include process analysis, requirements gathering, Power BI dashboards, Power Apps and Power Automate implementations, KPI design, documentation, stakeholder presentations, and supporting solution adoption and continuous improvement.

Lead analytics strategy and portfolio measurement for payor-focused products. Define standards for actuarial value, client reporting, and internal measurement. Align cross-functional teams (actuaries, product, reporting, analytics) on priorities, requirements, and sequencing. Develop measurement frameworks, value stories, and reporting approaches to improve comparability, decision-making, and portfolio-level impact.

Perform data analysis and management, build reports, dashboards, calculators, and maps; present findings to clients and stakeholders; mentor junior staff; collaborate with data science and technical teams; use SQL, Python, GIS, BI and spreadsheet tools to translate data into actionable insights and client-facing deliverables.

Build The Bulwark's analytics foundation: design ingestion pipelines and a source-of-truth schema in Snowflake, implement ELT transformations, create dashboards and reporting, run cohort/LTV/churn analyses, support pricing and experimentation measurement, and partner across teams to drive subscriber growth and revenue decisions.

Manage web and marketing analytics for agency clients: implement and troubleshoot GA4 and GTM tagging, build Data Studio dashboards, analyze website and campaign performance, run A/B tests, support SEO and measurement strategy, integrate data sources, and contribute analytics expertise to proposals and client reporting.

The Data Engineer will develop data and software solutions for law enforcement, create reports, and manage data sources. Responsibilities include collaborating with teams to analyze data, communicate with clients, and ensure high-performance analytics tools.

Support the Data & Analytics team by developing search queries, gathering and organizing social/digital data, detecting trends in large datasets, and turning findings into client-ready insights and deliverables. Learn analytical tools and assist internal AI projects.

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted capabilities.

Lead enterprise data strategy, architecture, governance, and analytics to create a unified, federated data ecosystem. Build scalable platforms and capabilities, enable self-service BI and advanced analytics, drive AI enablement, steward data governance and quality, and lead change management, talent strategy, and adoption across global teams to support programs, fundraising, and operations.

Lead development and execution of measurement and insights strategies for B2B clients. Analyze earned/social/web data, conduct secondary research, build measurement frameworks and dashboards, present strategic recommendations, mentor junior staff, and partner with cross-functional teams to drive campaign performance and business impact.

This position involves supporting client-based data analytics and engineering projects, utilizing SQL, Python, or R, and presenting findings clearly.

The Data Analytics SME will assess technical practices, perform data analysis, and manage data cleansing for compliance and reporting purposes. Responsibilities include using Tableau, PowerBI, and SAS for analytics and reporting, as well as supporting cross-agency data initiatives.

Lead design and execution of the internal analytics stack: scale the data warehouse, build dbt ETL pipelines, model data for cross-functional reporting, create dashboards and forecasts, implement data quality checks, and partner with Product, Sales, Finance, and Operations to define KPIs and automate analytics workflows.

Design, deliver, and maintain SAP Analytics Cloud solutions. Gather and model client data and KPIs, configure and migrate reports from SAP BW to SAC, collaborate with stakeholders, lead and mentor team members, and support BI implementations focused on Order-to-Cash and Procure-to-Pay processes.

Lead end-to-end SAP Analytics Cloud front-end development: gather requirements, design, build, optimize, test, deploy, and support reports. Define analytics strategy and roadmap, align BI with business stakeholders, manage budgeting and staffing, grow and mentor the analytics team, establish governance and best practices, and oversee SAP/non‑SAP integrations while monitoring SAP product roadmap.