Job Role

- HR Analytics Analyst

- Analyze HR data and transform it into actionable business insights.

- Build dashboards, automate reports, and support People Analytics initiatives.

- Leverage Python, SQL, Power BI, VBA, and AI tools to improve HR reporting and workforce planning.

- Collaborate with HR teams and business leaders to support data-driven decision-making.

Key Responsibilities

HR Analytics &

- Reporting:

- Build and maintain HR dashboards.

- Develop HR reports using Power BI, Tableau, or similar BI tools.

- Prepare recurring MIS reports.

- Generate ad-hoc HR reports for leadership.

- Deliver actionable workforce insights.

- Present analytical findings through visual reports.

Data Analysis &

- Management

- Clean and analyze HR data using Python.

- Query and manage datasets using SQL.

- Ensure HR data quality and accuracy.

- Maintain data consistency across HR systems.

- Perform workforce data analysis.

Dashboard &

- Automation

- Develop interactive HR dashboards.

- Automate HR reporting processes.

- Improve operational efficiency through automation.

- Reduce manual reporting efforts.

- Enhance reporting workflows.

Predictive Analytics

- Build predictive analytics models.

- Analyze attrition risk.

- Forecast hiring demand.

- Support workforce planning.

- Identify workforce trends.

AI &

- HR Technology

- Support AI-driven HR initiatives.

- Utilize Generative AI tools for HR analytics.

- Automate HR reporting using AI.

- Improve employee insights through AI.





- Enhance HR decision-making with automation.

Stakeholder Collaboration

- Partner with HR Business Partners.

- Collaborate with Talent Acquisition teams.

- Work closely with HR Operations.

- Coordinate with Finance teams.

- Support Business Leaders with data-driven solutions.

Required Skills

Technical Skills:

- HR Analytics.

- People Analytics.

- Microsoft Excel.

- Data Visualization.

- Dashboard Development.

- HR Reporting.

- MIS Reporting.

- Predictive Analytics.

- Workforce Analytics.

- Data Cleaning.

- Data Automation.

HR Knowledge

- Hiring Metrics.

- Attrition Analysis.

- Diversity Metrics.

- Headcount Reporting.

- Workforce Planning.

- HR Data Management.

AI &

- Automation Skills

- Generative AI.

- ChatGPT.

- AI Automation.

- AI-driven Analytics.

- Basic AI/ML Concepts.

Soft Skills

- Analytical Thinking.

- Problem Solving.

- Communication Skills.

- Stakeholder Collaboration.

- Attention to Detail.

- Continuous Learning.

Education

- Bachelor's Degree in Engineering, Computer Science, Statistics, Mathematics, Business Analytics, Human Resources, or a related field.

- Master's Degree in a relevant field (Preferred).

Preferred Skills

- HRIS Platforms.

- Statistical Analysis.

- Data Visualization Best Practices.

- Experience in Technology or FinTech industry.

Key Competencies

- Data Analysis &
- Visualization.

- Python.

- Problem Solving.

- Stakeholder Collaboration.

- Attention to Detail.

- Continuous Learning.

📌 HR Analytics (Noida)
🏢 JobTrade
📍 Noida