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
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

3 years relevant experience with Bachelors in related field
1 year relevant experience with Masters in related field
High School Diploma or equivalent and 7 years relevant experience
Skilled in SQL, relational databases, and cloud-based data storage (Azure, AWS, Snowflake)
Capable of documenting repeatable data workflows and integration protocols
Have extraordinary communication skills
Comfortable reading and understanding data transformation scripts written in Python
Compile and analyze data definitions, usage, labeling standards
Collaborate with data engineers and developers to ensure data quality and consistency

Data Analyst 2

Key skills