Top Senior Analytics Jobs in Washington, DC

Provides analytics and strategic advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, dashboards, and predictive models using Python and machine learning. Collaborates with clients and internal teams, validates data integrity and security, mentors junior staff, and delivers data-driven recommendations.

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

Analyze single-family mortgage portfolio risk and support development of an acquisition portfolio optimization tool. Research emerging market, regulatory, and macroeconomic risks; define model requirements with cross-functional teams; assess trends, relationships, forecasts, scenarios, and stress tests; mentor junior analysts; and present recommendations to senior management and stakeholders.

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.

Leads workforce analytics and planning, partnering with HR and business leaders to deliver predictive insights and strategic recommendations. Develops workforce planning frameworks, analytical standards, forecasting models, dashboards, and decision-support tools. Integrates workforce, financial, operational, and market data to identify talent risks, capacity needs, and organizational opportunities. Presents executive-ready data stories and coordinates actions across HR functions while coaching talent and improving analytics capabilities.

Own the Industrial platform’s data infrastructure, datasets, dashboards, models, and AI-enabled analytical workflows. Deliver investor and occupier business-development insights, supply-chain mapping, surveys, executive reporting, presentations, and pursuit support. Partner with Research, Sales Enablement, technology, operations, brokers, and leadership to improve data integrity, self-service reporting, platform capabilities, and automation. Coordinate cross-functional initiatives and translate quantitative analysis into actionable narratives for senior leaders and clients.

Leads medium- to large-scale analytics projects and client relationships while conducting data analysis, managing data infrastructure, building reports and calculators, and preparing client presentations. Provides strategic insights, oversees deadlines and quality, mentors analysts, collaborates with data science and technical teams, and communicates findings to technical and non-technical stakeholders.

Lead quantitative research and analytics for political and commercial clients: design experiments and surveys, manage RCTs and statistical modeling, generate strategic insights, oversee a team of data scientists and analysts, and deliver client-facing recommendations.

Data and Analytics Consultants help clients deliver strategic initiatives through data-driven decisions, requiring technical expertise and problem-solving skills.

Design, build, and maintain scalable ETL/data pipelines and an authoritative Lakehouse using Databricks and cloud platforms. Collaborate on data platform strategy, implement CI/CD, model data, refresh dashboards, apply advanced analytics (LLMs/AI) to unstructured data, and support post-award reporting to improve grant program outcomes.

Lead and grow customer analytics practice for Communications, Media & Technology clients. Define strategy, develop thought leadership, deliver large-scale analytics engagements, and drive CRM modeling, reporting, and predictive analytics initiatives.

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.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

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 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.

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 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.

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.

Lead design, development, and delivery of SAP Analytics Cloud solutions. Gather and model client KPIs/data, configure/test/migrate SAC solutions, apply S/4HANA process analytics (Order-to-Cash or Supply Chain), support budgeting/forecasting, and mentor/manage junior team members.