Data Analyst

VTG•Washington, DC

14d

About The Position

VTG is seeking a Data Analyst to support the Submarine Industrial Base (SIB) Data team. The role is based in Washington, DC (preferred) and is eligible for remote work. The team collects, integrates, and analyzes supply chain, supplier, workforce, and shipyard data to help Navy leaders identify risks across the submarine industrial base and take action. The Data Analyst handles stakeholder data requests, researches questions using authoritative and supplemental sources, and uses SQL and/or Python to query, aggregate, clean, reconcile, and validate data. The analyst prepares accurate, well-supported responses in forms such as written summaries, tables, and visualizations, while documenting sources, methods, assumptions, and limitations. The role also supports data engineering, data science, and data architecture teams, and helps maintain data structures, standards, metadata, a data dictionary, and a data catalog. The analyst works directly with senior government and VTG leaders to interpret findings, explain confidence in the data, and describe implications for the program. They prepare and deliver executive summaries, briefings, and talking points for non-technical audiences, answer follow-up questions, identify trends and risks, and participate in working groups, program reviews, and technical exchange meetings. The position supports data governance, data quality practices, and proper handling and marking of Controlled Unclassified Information (CUI).

Requirements

Active Secret security clearance and ability to maintain it.
Bachelor's degree in Computer Science, Information Systems, Data Science, Business, Supply Chain Management, or a related field; four additional years of relevant experience may substitute for the degree.
At least four years of combined experience in data architecture and data analysis, including at least three years of hands-on data modeling or data architecture work.
Proficiency in Python and SQL and experience working with large, multi-source datasets.
Strong SQL skills for querying, analyzing, and interpreting data across relational databases.
Ability to develop complex SQL queries involving joins, subqueries, common table expressions, aggregations, window functions, and other advanced techniques.
Advanced Microsoft Excel skills, including formulas, pivot tables, data visualization, and automation.
Demonstrated experience with business intelligence and visualization tools such as Power BI or Tableau.
Demonstrated experience researching and responding to deadline-driven data requests or data calls, with sources and methods documented.
Demonstrated experience presenting analysis and explaining reports to senior or executive-level decision makers, orally and in writing.
Proficiency with standard business software for presentations, word processing, spreadsheets, and SharePoint-based collaboration.
Ability to work independently, manage competing priorities, and collaborate effectively with a geographically distributed team.

Nice To Haves

Experience supporting Navy, NAVSEA, submarine, or shipbuilding industrial base programs.
Knowledge of defense supply chain management, logistics, or supply chain risk management.
Experience with cloud data platforms in government environments, such as AWS GovCloud or Azure Government, including Impact Level 4 and 5 workloads.
Familiarity with Department of War and Navy enterprise data platforms such as Advana and Jupiter.
Experience coding in Python for data analysis, manipulation, and automation using pandas, numpy, or similar libraries.
Experience with ETL/ELT processes and data pipelines.
Experience working on Agile teams using Jira and Confluence.
Professional certification such as Certified Data Management Professional (CDMP) or a cloud data certification.
Master's degree in a related field.

Responsibilities

Receive, log, and scope data requests and data calls, confirming the question, intended use, and due date.
Research requests across authoritative and supplemental sources; query, reconcile, and validate the data needed to answer them.
Use SQL and/or Python scripts to aggregate and clean data and prepare complete, accurate responses, including written summaries, tables, and visualizations.
Document the sources, methods, assumptions, and limitations behind responses so results are repeatable and defensible.
Maintain a library of prior requests and responses to improve turnaround and consistency.
Collaborate with data engineers and analysts to ensure data accuracy, consistency, and integrity across systems.
Apply data standards, naming conventions, and metadata, and maintain the team's data dictionary and data catalog.
Assess data sources for quality, completeness, and fitness for use, and recommend corrective actions for gaps, duplication, or conflicts.
Support data governance practices, including data quality rules and proper handling and marking of CUI.
Engage directly with senior government and VTG leadership to interpret findings, explain reports and data confidence, and describe program implications.
Prepare and deliver executive summaries, briefings, and talking points tailored to senior, non-technical audiences.
Answer follow-up questions in real time and translate technical details into plain language.
Flag data trends, risks, and anomalies and suggest follow-on analysis.
Participate in working groups, program reviews, and technical exchange meetings as a member of the SIB Data team.