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 transparent, 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 Skills & Experience

📌 Data Specialist (Hyderabad)
🏢 HighRadius
📍 Hyderabad