Supply Chain Risk Management (scrm) Data Analyst- Secret Clearance Required

This role focuses on data analysis within supply chain risk management, requiring the interpretation of business questions, translation into analytical problems, and the development of data requirements for a uniform database. The analyst will use SQL and Python for data manipulation and analysis, and create interactive dashboards using BI tools like Qlik Sense.

What you'd actually do

  1. Engage with functional stakeholders to understand business questions, analytical needs, and decision making priorities by interpreting and synthesizing analytical findings into clear narratives, insights, and recommendations for non technical audiences.
  2. Translate stakeholder needs into clearly defined analytical problem statements, metrics, and data requirements.
  3. Work with various analytical tool and dashboard owners throughout the Department to understand varying data requirements, utilizing those insights to build requirements for a uniform supply chain risk database.
  4. Navigate and query relational databases, with an emphasis on analytics environments within Advana / Databricks.
  5. Use SQL and Python (e.g., pandas, SQLAlchemy) to extract, transform, validate, and analyze data across multiple datasets.
  6. Develop and maintain interactive dashboards using Qlik Sense / QlikView (or comparable BI tools) to deliver actionable insights (define KPIs, dashboard layouts, and data refresh schedules aligned to mission and stakeholder priorities)

Skills

Required

  • Bachelor's degree
  • 2+ years' experience in business analysis, data analytics, or a related analytical role
  • SQL
  • Python (pandas, SQLAlchemy)
  • Qlik Sense / QlikView (or comparable BI tools)
  • Relational databases
  • Advana / Databricks

Nice to have

  • Experience in Supply Chain Risk Management (SCRM)
  • Experience building or supporting dashboards/metrics for operational or executive audiences.
  • Experience managing and analyzing datasets within the DoD Advana platform (Databricks / Qlik)
  • Experience with requirements management or project tracking tools such as Jira, Azure DevOps, or Rally
  • Experience with version control (Git), CI/CD concepts, and basic data QA techniques
  • Experience with data modeling concepts (e.g., star and snowflake schemas, normalization)
  • Experience supporting defense, acquisition, logistics, or national security stakeholders in an analytical or advisory capacity

What the JD emphasized

  • Secret security clearance required
  • Active Secret security clearance required