Data Analyst

TL;DR

Data Analyst: Mine, prepare, analyze, and report on mission data including structured datasets and big data analytics with an accent on data mining, modeling, dashboards, and stakeholder decision support. Focus on implementing analytic pipelines, building visualizations, and documenting findings for technical and operational audiences.

Location: Washington, DC. U.S. Citizenship required. Must possess or be able to pass a five-year federal background investigation prior to start.

Company

hirify.global LLC is a small business headquartered in Virginia delivering software engineering, cloud, data, and AI/ML solutions to federal customers since 2005.

What you will do

• Perform data mining, profiling, cleansing, and preparation across structured datasets.
• Conduct analyses including needs and gap assessments, and evaluate data accuracy.
• Implement data models and analytic pipelines designed by senior data scientists.
• Build and maintain dashboards and reports for mission analytics.
• Document analyses, assumptions, and recommendations for diverse audiences.
• Provide database support and coordinate with data engineers on data quality.
• Support stakeholders by translating questions into queries, visualizations, and narratives.

Requirements

• Four+ years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, or operations research.
• Two+ years of applied data science research or big data analytics experience.
• Bachelor's degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or related field (Master's/Ph.D. may substitute for experience).
• Demonstrated knowledge of data mining, databases, data visualization, and machine learning concepts.
• Strong communication skills for analysis techniques and products.
• Ability to develop data-driven analyses and reports using visualizations and models.

Nice to have

• Experience with regulatory, fraud, supply-chain, or complex mission datasets.
• Familiarity with statistical methods (hypothesis testing, regression, time series).
• Experience preparing Section 508-compliant dashboards and reports.
• Experience with version control and reproducible analysis (Git, Jupyter).

Culture & Benefits

• Work on a federal data science team supporting high-impact mission programs with predictive analytics, ML, NLP, graph analytics at scale.
• Culture emphasizes continuous learning, collaboration, and mission-focused delivery.
• Invest in people through training, certifications, and clear career pathways.
• AWS Partner Network Advanced Tier Consulting Partner, CMMI-DEV Level 3 appraised, Top Workplace recognized.