Data Analyst

Data Analyst: AutoPH Talent Strategy

Overview:

Be a part of the CEO's vision for the next generation of performance management. As a Data Analyst on the AutoPH team, you will be responsible for collecting, analyzing, and interpreting data to help optimize AutoPH processes, improve system accuracy, and support decision-making. This role involves working with large datasets from various systems and tools, identifying trends, generating reports, and providing actionable insights to support operational, project, and business objectives.

Key Responsibilities

• Data Modeling & Algorithm Optimization: Evaluate AutoPH logic to improve measurement precision, reduce bias, and build mathematically sound performance metrics.
• Data Collection & Management: Gather and organize data from various sources, including internal systems, and project databases, ensuring data integrity and accuracy.
• Data Analysis & Reporting: Analyze large datasets to identify trends, patterns, and insights that can inform talent decisions, improve system performance, and optimize processes.
• Quality Control: Ensure the accuracy, consistency, and reliability of data through validation, cleaning, and preprocessing techniques.
• Dashboards & Productized Insights: Design self-serve, intuitive dashboards that transform complex metrics into actionable insights for leadership.

Required Skills & Experience

• Experience: 3+ years in a high-growth environment (Product, Fintech, or Strategy & Ops);
• Core Technical Stack:
• Advanced SQL & Modeling: Strong hands-on proficiency with SQL and Google Sheets/Excel for complex modeling; familiarity with BigQuery is a plus.
• Visualization: Hands-on experience building interactive dashboards in Power BI, Tableau or Data Studio.
• Scripting: Working knowledge of Python or R for data cleaning, preprocessing, and basic automation.
• Analytical Skills: Strong foundational statistics, data validation techniques, and root-cause analysis skills.
• Communication: Proven ability to explain technical insights to non-technical managers and executive stakeholders clearly.