Data Analyst

Role overview Prepare and analyze large datasets for a federal customer, supporting repeatable data workflows, ingestion infrastructure, and interactive visualizations. The role also documents findings and helps translate analysis into practical recommendations alongside data scientists and consultants.

Responsibilities - Mine, prepare, and report on data, including conducting analyses, studies, and needs or gap assessments. - Check data quality and assess whether proposed findings, recommendations, and solutions are reasonable. - Summarize results and develop recommendations addressing customer problems. - Prepare large datasets, implement data models designed by others, and provide database support. - Contribute to project work with data scientists and other consultants.

Requirements - At least four years of relevant experience in a quantitative or technical field, including two years in applied data science research or big data analytics. - A bachelor’s degree in statistics, applied mathematics, data science, computer science, operations research, or a related technical discipline. A master’s degree may replace up to two years of experience, and a PhD may substitute for experience. - Experience with data mining, databases, visualization, machine learning, and techniques such as anomaly detection, clustering, time-series analysis, and NLP. - Experience with Qlik, Tableau, Power BI, or similar BI tools, and familiarity with Databricks or another distributed data platform. - Strong SQL skills, including cleaning and managing data, performance optimization, and large-scale processing; strong written and verbal communication.

Benefits and work setup - Fully remote, full-time position, with preference for candidates in the National Capital Region. - One day of travel may be needed for initial onboarding and equipment pickup. - Benefits may include health and life insurance, paid time off, holidays, disability coverage, retirement savings, learning opportunities, and wellness programs.