Top Analytics Jobs in Washington, DC

Supports data analysis and client advisory projects by researching datasets, identifying patterns, developing dashboards, integrating data sources, and using Alteryx and Power BI to automate analytics and visualize business metrics. The intern assists with algorithm development, data-driven insights, and cloud and data architecture initiatives while learning PwC methodologies and building professional skills.

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.

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.

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.

Conduct research, media and social analysis, audience intelligence, measurement planning, data visualization, and client reporting. Translate complex findings into strategic recommendations, support proposals and business development, and collaborate across agencies and client teams. The role requires strong research methodology, data collection, analytical, presentation, and storytelling skills while managing multiple projects in a fast-paced environment.

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.

Drive strategic planning and data analytics for Customer Success by analyzing complex datasets, developing predictive models, building Tableau dashboards, and enabling self-service reporting. Translate business requirements into scalable data solutions, synthesize insights for executive decisions, and collaborate with engineering, product, analytics, and program management teams. Coach team members on Tableau and analytics best practices while leading cross-functional initiatives and improving analytics quality.

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.

Develop dashboards, visualizations, and executive reporting to analyze programmatic and policy data. Validate metrics, maintain data quality, coordinate with stakeholders, and support data literacy through training and documentation.

Build and maintain scalable dbt data models, Python ETL pipelines, and Dagster workflows. Scrape public data, support CRM migration, improve data warehousing and SQL practices, and ensure accurate analytics data for organizational stakeholders. Collaborate with analysts, data scientists, vendors, legal and advocacy teams, and business users to define data practices and support fundraising, communications, supporter engagement, litigation, and advocacy initiatives.

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.

Own the 287(g) program’s end-to-end data lifecycle, including Power Automate pipelines, Python-based PDF extraction, JSON transformation, data quality audits, Tableau tracking, and recurring reporting. Manage clearance and credentialing workflows, background investigation packets, PII/CUI handling, training eligibility, credential distribution, and stakeholder communications. Maintain SOPs, SharePoint repositories, tracking systems, and program documentation while coordinating with federal security units and operational stakeholders.

Partner with People Analytics Consultants to analyze HR data, deliver actionable insights for talent decisions, workforce planning, retention, and employee experience. Design analyses, present findings to leaders, manage multiple projects, and help enhance analytics solutions.

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.

Leads Cisco’s global compliance data analytics program, managing the Compliance Analytics & Enablement team. Develops multi-year analytics and AI/ML roadmaps, builds automated compliance risk monitoring and early-warning systems, integrates enterprise data sources, and delivers actionable insights to senior executives and the board. Partners with Legal, Compliance, Audit, engineering, and business teams to support compliance-by-design, regulatory risk mitigation, and data-driven decision-making.

Analyzes and visualizes client data using SQL, Python, Power BI, and Tableau; automates analytical and business processes with Power Automate; develops dashboards and analytical solutions; identifies risks and requirements; defines KPIs; and communicates insights to technical and non-technical stakeholders. The role requires an active Secret clearance and full-time onsite work in Washington, D.C., with up to 10% travel.

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.

Analyzes customer behavior and engagement data across digital platforms, develops reporting systems, and applies geospatial analytics to identify regional trends. Audits and improves tracking infrastructure using analytics and customer experience platforms, translates findings into strategic recommendations, supports usability testing, and maintains analytics documentation. Collaborates with marketing, product, design, and technical teams to improve customer journeys, engagement, and satisfaction.