Data Analyst

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.

• 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.
• Bachelors degree in Statistics Applied Mathematics Data Science Computer Science Operations Research or a closely related scientific or technical discipline. (A Masters 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 & Suitability

U.S. Citizenship required. Candidates must currently possess or be able to favorably pass a five (5) year federal background investigation prior to start.

OneGlobe LLC is a small business headquartered in Virginia that has delivered innovative software engineering cloud data and AI/ML solutions to federal customers since 2005. We are an AWS Partner Network Advanced Tier Consulting Partner CMMI-DEV Level 3 appraised and have been recognized as a Top Workplace. Our culture emphasizes continuous learning collaboration and mission-focused delivery and we invest in our people through training certifications and clear career pathways.

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.