Salary
💰 $94,294 - $130,000 per year
Tech Stack
AWSAzureCloudETLPythonSQL
About the role
- Aggregate data from multiple sources.
- Cleanse and normalize datasets to ensure consistency across platforms.
- Maintain data pipelines for real-time or scheduled ingestion into centralized systems.
- Troubleshoot integration issues.
- Compile and analyze data definitions, usage, labeling standards.
- Maintain analytical systems, verify the accuracy of the data, and act as liaison with business.
- Collaborate with data engineers and developers to ensure data quality and consistency.
- Continuously improve data analysis and reporting processes to drive efficiency and accuracy.
- Analyze performance metrics (e.g., fatigue, cognitive load, recovery rates) to identify trends.
- Develop dashboards that visualize KPIs related to human performance.
- Generate reports for leadership on individual and team performance trends.
- Translate technical findings into actionable insights for non-technical stakeholders.
- Participate in daily stand-ups or syncs to align on priorities and data requirements.
- Support cross-functional initiatives that integrate performance data into broader readiness.
- Recommend improvements to data architecture based on performance feedback.
Requirements
- 10 years relevant experience with Bachelors in related field; 8 years relevant experience with Masters in related field; or High School Diploma or equivalent and 14 years relevant experience.
- Skilled in SQL, relational databases, and cloud-based data storage (Azure, AWS, Snowflake).
- Proficient in Data Modeling and Microsoft Excel.
- Experience with Python; comfortable reading and understanding data transformation scripts written in Python by teammates.
- Capable of documenting repeatable data workflows and integration protocols.
- Have extraordinary communication skills.
- Clearance - Must be able to obtain and maintain a clearance (Secret).
- Preferred: Technical writing experience (queries, reports, presentations).
- Preferred: Experience with ADVANA and Exel, with an aptitude for learning other analytics tools.
- Preferred: Knowledge of FMS processes and systems.
- Preferred: Excellent experience with data modeling.
- Preferred: Experience with ETL process.