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.

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 complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Leads the strategic direction of performance analytics and measurement for global enablement efforts. Owns the analytics roadmap, defines KPIs, develops AI-driven seller-readiness assessments, and partners with data engineering, sales, enablement, and technology teams. Translates complex analysis into executive-level insights, drives cross-functional alignment, and leads strategic measurement initiatives.

Manages marketing technology, CRM data analytics, AI-enabled data enrichment, and data quality initiatives. Develops governance guardrails, standards, controls, and processes to maintain accurate data. Analyzes marketing and business development information to identify revenue and operational efficiency opportunities, creates recurring reports, collaborates with vendors and internal stakeholders, and implements tools that support strategic decision-making and demand generation.

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.

Leads Alteryx’s product telemetry and analytics function, including instrumentation, semantic-layer governance, self-service analytics, intake prioritization, capacity planning, and executive communication. Manages a team in India, develops talent, improves data adoption and trust, and partners with technical and business leaders to sequence platform work. The role requires expertise in product analytics, data architecture, analytics operating models, metric governance, and stakeholder enablement.

Leads data analytics activities for a DHS CISA contract, ensuring accurate analysis and communicating findings to project stakeholders. Requires at least six years of senior data analyst experience, including three years supporting national security, defense security, or homeland security data. The role requires a relevant quantitative degree, substantial mathematics coursework including calculus, and a recognized data science or analytics certification.

Lead growth analytics for Zendesk’s product-led growth motion, guiding a team of analysts and partnering with Product, Engineering, Sales, Marketing, and Data teams. Define funnel metrics, measurement plans, experiments, and instrumentation across acquisition, activation, conversion, retention, and expansion. Analyze customer behavior using segmentation, cohorts, funnels, experimentation, and statistical methods. Improve self-service reporting, dashboards, metric definitions, reusable datasets, and analytics capabilities while coaching analysts and influencing senior stakeholders.

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

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.

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.

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 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.