Logistics Data Analyst (SME)

We are seeking a Subject Matter Expert (SME) to support the Logistics Division Chief in the areas of readiness and fleet management. The ideal candidate will serve as a technical lead, leveraging advanced data engineering and business intelligence tools to optimize Fixed Wing project office operations within the Army 365 environment.

Key Responsibilities

• Data Engineering & ETL: Analyze, plan, and develop custom SQL scripts, packages, and stored procedures. Execute ETL processes to integrate Contract Data Requirements List (CDRL) and Army Vantage data files into the Fixed Wing data warehouse.
• Business Intelligence: Design and maintain custom Power BI dashboards and paginated reports to monitor performance-based logistics and fleet readiness. Manage periodic report subscriptions for leadership.
• Data Integrity: Perform regular data cleansing and validation on data warehouse tables to ensure high-quality reporting and analysis.
• Application Development: Develop and revise low-code solutions using Power Apps and Power Automate to streamline project office workflows.
• Collaboration Infrastructure: Manage and maintain Microsoft Teams channels and SharePoint sites for the Logistics Division to ensure seamless information sharing.
• Advisory: Provide expert technical guidance to the Division Chief regarding data-driven fleet management and readiness strategies.

Required Qualifications

• Requires a Bachelor’s degree and 9 years of experience.
• US Citizenship with an active Secret clearance.
• Certification: Active CompTIA Security+ certification.
• Technical Proficiency: Demonstrated experience with:
  • Microsoft SQL Server Management Studio (SSMS) & Data Tools (SSDT).
  • Microsoft Power BI Desktop & Power BI Report Builder.
  • Microsoft Power Platform (Power Apps, Power Automate).
  • Microsoft 365 Apps for Enterprise.

Preferred Experience

• Background in Army logistics or aviation fleet management.
• Experience handling Army Vantage or large-scale military data sets.
• Strong understanding of performance-based logistics (PBL) metrics.

EOE/Minorities/Females/Vet/Disabled