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.
- Pipeline Automation: Develop and implement tools or scripts to automate data collection, analysis, and reporting tasks, improving efficiency and reducing manual effort.
- Cross-Functional Collaboration & Technical Writing: Partner with engineering and other department teams to translate technical requirements into clean specs, operational guides, and user-friendly insights.
- Executive Communication: Convert high-dimensional data and complex analytics into explicit, low-friction narratives for C-suite decision-makers.
- Root-Cause & Trend Analysis: Investigate system anomalies, analyze performance trends, and track core KPIs to continuously improve system reliability.

Required Sk

📌 Data Specialist (India)
🏢 HighRadius
📍 India