HR Data Analyst (Power BI)

Job Title: HR Data Analyst – Power BI

Location: Remote

Experience: 3–7 Years

Employment Type: Full-Time

Job Summary

We are seeking a detail-oriented and analytical HR Data Analyst with strong expertise in Power BI, HR Analytics, and Data Handling. The ideal candidate will be responsible for transforming HR data into actionable insights, building interactive dashboards, and supporting data-driven workforce decisions. Experience with SAP SuccessFactors is an added advantage.

Key Responsibilities

• Analyze and interpret HR data to identify workforce trends, patterns, and opportunities.
• Design, develop, and maintain interactive Power BI dashboards and reports for HR stakeholders.
• Collect, cleanse, validate, and manage large volumes of employee and HR-related data from multiple sources.
• Develop and track HR metrics and KPIs, including attrition, headcount, diversity, hiring, performance, and employee engagement.
• Create automated reporting solutions to improve efficiency and data accuracy.
• Collaborate with HR, Talent Acquisition, Compensation & Benefits, and business leaders to understand reporting requirements.
• Ensure data integrity, consistency, and compliance with data governance standards.
• Provide insights and recommendations to support workforce planning and strategic HR initiatives.
• Prepare periodic and ad hoc reports for leadership reviews and decision-making.

Required SkillsMandatory

• Strong experience in Power BI (data modeling, DAX, Power Query, dashboard development, and visualization).
• Hands-on experience in HR Analytics and workforce reporting.
• Strong Data Handling skills, including data cleansing, validation, transformation, and analysis.
• Proficiency in SQL and/or advanced Excel for data analysis.
• Experience working with large datasets and multiple data sources.
• Strong analytical, problem-solving, and stakeholder management skills.

Good to Have

• Experience with SAP SuccessFactors reporting and data extraction.
• Knowledge of HR systems, employee lifecycle processes, and HR KPIs.
• Familiarity with data warehousing concepts and ETL processes.