Data Analyst Jobs in Des Moines, WA

About The Position

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.