Senior Data Analyst
Location: Redstone Arsenal, Alabama
Position Type: Full-Time
Pay Type: Salary
Clearance: SECRET — Must currently possess or be eligible to obtain and maintain a SECRET clearance
Position Summary
We are seeking an experienced Senior Data Analyst to lead advanced analytics supporting Army logistics and supply-chain operations at Redstone Arsenal, Alabama.
The Senior Data Analyst will lead the development of descriptive and predictive analytical products, analyze complex logistics and supply-chain data, develop data-driven insights, and support Government decision-making.
The successful candidate will have extensive analytics experience combined with demonstrated experience applying analytics to supply-chain or logistics operations.
Key Responsibilities
- Lead advanced data-analysis activities supporting logistics and supply-chain operations.
- Develop descriptive and predictive analytical products.
- Analyze complex datasets to identify trends, patterns, risks, and opportunities.
- Perform data mining and statistical analysis.
- Develop statistical and predictive models supporting operational decision-making.
- Apply machine-learning techniques where appropriate to analytical requirements.
- Develop dashboards, visualizations, and other decision-support products.
- Use tools such as Tableau and/or Power BI to communicate analytical results.
- Translate complex data into clear, actionable information for Government and program leadership.
- Evaluate supply-chain performance and identify opportunities for improvement.
- Develop analytical reports, briefings, and presentations.
- Ensure analytical products are accurate, supportable, and responsive to mission requirements.
- Provide technical leadership and mentorship to junior data analysts.
- Coordinate with logistics analysts, developers, and Government stakeholders.
Required Qualifications
- Bachelor’s degree in Data Science, Operations Research, or a related field.
- Minimum 7 years of analytics experience.
- Minimum 3 years of supply-chain experience.
- Demonstrated experience leading descriptive and predictive analytics efforts.
- Experience with data mining.
- Experience with statistical modeling.
- Experience applying machine-learning techniques.
- Experience developing data visualizations and analytical products.
- Experience with Tableau and/or Power BI.
- Strong analyt