The Data Analyst is a key member of the project team, working under occasional supervision to mine, prepare, analyze, and report on mission data. They implement models built by senior team members, design dashboards and reports, and surface findings that inform program decisions and policy.
- Perform data mining, profiling, cleansing, and preparation across structured datasets.
- Conduct analyses and studies, including needs and gap assessments, and assess accuracy and reasonableness of data and proposed solutions.
- Implement data models and analytic pipelines designed by senior data scientists.
- Build and maintain dashboards and reports - including contributions to mission analytic dashboards.
- Document analyses, assumptions, and recommendations for technical and operational audiences.
- Provide database support and coordinate with data engineers on access, quality, and lineage.
- Support data-driven decision making for stakeholders by translating questions into queries, visualizations, and concise narratives.
Requirements
- Four (4)+ years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, or operations research.
- Two (2)+ 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 a closely related scientific or technical discipline. (A Master's may substitute for up to two years of experience; a Ph.D. may substitute for experience.)
- Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning concepts.
- Strong communication skills for analysis techniques, concepts, and products.
- Ability to develop data-driven analyses and reports based on data visualizations and data models.
Preferred Qualifications- Experience with regulatory, fraud, supply-chain, or other 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, parameterized notebooks).
Tools & Technologies- SQL (PostgreSQL, Oracle, Snowflake, Redshift, BigQuery).
- Python (pandas, NumPy, matplotlib, seaborn) and/or R.
- Visualization: Tableau, Power BI, Plotly, Excel (advanced).
- ETL & orchestration: Alteryx, dbt, Airflow (familiarity).
- Notebook environments: Jupyter, Databricks, VS Code.
Clearance & SuitabilityU.S. Citizenship required. Candidates must currently possess or be able to favorably pass a five (5) year federal background investigation prior to start.
OneGlobe is staffing a federal data science services team that supports a high-impact mission program. The team works alongside business analysts, machine learning engineers, application developers, and government leaders to build analytic and AI/ML capabilities on top of an enterprise analytics platform. The work spans predictive and prescriptive analytics, machine learning, natural language processing, graph analytics, visualization, and unified case management - at a scale of millions of records per day. Engagements typically run from three-month sprints to multi-year capability builds, on mostly structured data drawn from many disparate sources.
