Data Analyst

Vector Resources•Washington, DC

5d•Hybrid

About The Position

The Data Analyst will develop and maintain analytic products, dashboards, and ETL pipelines informing nuclear industrial base assessments, at-risk materials monitoring, CFIUS reviews, and emerging technology evaluations. Work is analyst-driven and directly informs senior government decision-makers.

Requirements

Bachelor's degree in data science, statistics, computer science, engineering, economics, international affairs, or a related field. Equivalent experience will be considered.
Minimum of 2 years of professional experience in a data analyst, intelligence analyst, or research analyst role.
Demonstrated proficiency in Power BI, DAX, Power Query (M), data modeling, and dashboard publication.
Working proficiency in Python for data manipulation and analysis (pandas, requests, standard ETL libraries).
Experience designing and operating ETL pipelines against multiple source types (APIs, flat files, SQL, web-scraped content).
Strong written analytic communication; ability to produce concise products for senior audiences.
Active DOE Q or DoD Top Secret clearance at time of hire.
U.S. citizenship.
Local residence in the DC-MD-VA area.

Nice To Haves

Experience supporting DOE, NNSA, DoD, IC, or Treasury customers on national security analytic missions.
Subject matter familiarity with any of the following: nuclear industrial base, nuclear fuel cycle, critical and at-risk materials (including rare earths, tritium, HEU/LEU supply chains), CFIUS, export controls, emerging technology assessments (AI/ML, nuclear fuel cycle, quantum, biotech, advanced semiconductors, material characterization).
Working proficiency in R for statistical analysis.
Experience with open-source intelligence (OSINT) tradecraft, including structured analytic techniques, source evaluation, and foreign-language source triage.
Experience with SQL and relational database design.
Experience with Azure data services, SharePoint, or Power Platform (Power Automate, Power Apps) integration.
Familiarity with supply chain analytics, trade data (Panjiva, ImportGenius, UN Comtrade), corporate registry data (Sayari, Dun & Bradstreet), or patent/publication datasets.
Experience with geospatial analysis (ArcGIS, QGIS, or Python geospatial libraries).
Graduate degree in a relevant discipline.

Responsibilities

Design, build, and maintain interactive dashboards and visualizations in Power BI to support recurring and ad hoc analytic requirements.
Develop, automate, and document ETL processes across structured and unstructured data sources, including government systems, commercial databases, and open-source feeds.
Conduct open-source data stream analysis to identify trends, anomalies, and indicators relevant to nuclear industrial base resilience, supply chain risk, at-risk materials, and foreign investment activity.
Produce written analytic products, data summaries, and briefing materials supporting CFIUS case reviews, technology assessments, and related national security evaluations.
Write and maintain scripts for data acquisition, transformation, enrichment, and analysis.
Integrate disparate datasets into unified analytic environments; perform data quality assurance, deduplication, entity resolution, and normalization.
Partner with government leads, subject matter experts, and fellow contractors to translate mission questions into repeatable analytic workflows.
Document data sources, methodologies, assumptions, and limitations to standards acceptable for government record and audit.