Top Senior Data & Analytics Jobs in Washington, DC

Own analytics engineering for the machine infrastructure supply chain team. Build and maintain semantic layers, trusted data models, metrics, dashboards, and analytics-ready datasets using dbt and modern data platforms. Analyze inventory trends, optimize stock levels, investigate discrepancies, and develop supply chain KPIs. Partner with data engineering, finance, product, operations, planners, and buyers while improving inventory planning, replenishment, ERP processes, and warehouse efficiency.

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

Conduct theoretical and empirical research in mortgage finance, including residential property valuation, home price index estimation, and forecasting. Apply statistical, mathematical, econometric, data mining, and programming techniques using SQL, R, and Python. Develop and validate quantitative models, assess model risk and performance, interpret results, and provide business recommendations. Communicate technical findings through presentations, white papers, review reports, and work papers.

Designs and maintains scalable data pipelines and platforms using Databricks and cloud technologies. Responsibilities include ETL development, data modeling, automation, CI/CD, lakehouse implementation, dashboard enhancement, and advanced analytics using LLMs and AI to improve grant oversight and detect fraud, waste, and abuse. The role collaborates with architects, stakeholders, and federal government clients to support data-driven decision-making.

Supports government program data collection, reporting, statistical analysis, forecasting, visualization, and dashboard development. Builds data models, databases, automated reporting solutions, and briefing materials; analyzes and communicates findings to agency leadership. Develops data collection tools, trains staff, supports ETL and data quality efforts, and recommends automation improvements using Tableau, SQL, Python, R, SAS, and related data platforms.

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.

Analyzes complex structured and unstructured data for National Security clients, developing methodologies, models, visualizations, metrics, and recommendations. The role involves data wrangling, statistical analysis, Python-based interfaces, Tableau or Matplotlib visualizations, and presenting findings to clients and stakeholders. The analyst supports cross-functional decision-making, handles protected data and ethical AI practices, and requires knowledge of military and Intelligence Community environments.

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.

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.