Harver

Data Analyst

• Client Data Management
• Intake and validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics)
• Clean and standardize diverse data formats from enterprise HRIS and ATS systems
• Match client candidate records with Harver assessment data with high accuracy
• Troubleshoot data quality issues and communicate data requirements to clients
• Document data specifications and maintain data integrity throughout analysis lifecycle
• Predictive Validity & Outcome Analysis
• Execute concurrent & predictive validity studies using established statistical frameworks
• Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data
• Conduct ROI analyses demonstrating business impact (cost savings, quality of hire improvements)
• Perform disparate impact analyses to ensure assessment fairness
• Generate client-ready reports and visualizations communicating technical findings to business stakeholders
• Technical & Collaboration
• Query and analyze data using Looker and SQL from internal databases
• Collaborate with Data Scientists on methodology refinement and framework improvements
• Support Client Success teams with technical questions and ad-hoc analyses
• Maintain analysis documentation and contribute to team knowledge base
• Present findings to internal stakeholders and client-facing teams
• Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions
• Identify custom solutions based on client escalations and build into repeatable process for similar issues in the future

Senior Data Science Analyst