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 clear, 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

- Experience:

3+ years in a high-growth setting (Product, Fintech, or Strategy &

- Ops)
- Tier 1-2 MBA/B.Tech required.

- 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.

Desired Attributes

- Autonomous &
- Detail-Oriented:

Takes ownership of complex data pipelines while maintaining high standards for accuracy and logic.

- Agile &

- Driven:

Thrives in fast-paced setups, managing tight deadlines and cross-functional dependencies with resilience.

- Collaborative Team Player:

Thrives in cross-functional environments, fostering clear communication and shared success.

📌 Data Specialist (Hyderabad)
🏢 HighRadius
📍 Hyderabad