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Tier-1 employer, metro location, mid-level generalist analytics role with common Python/SQL skills increases applicant competition.
Requires HR domain experience plus analytics skills, moderately transferable across industries.
Explicit 2–6 years plus mandatory Python, SQL, BI, and HR analytics create strict filtering.
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Develop and maintain HR dashboards and reports using Power BI, Tableau or similar tools.
Use Python and SQL to analyze and automate HR data reporting and build predictive models for attrition, hiring demand, and workforce planning.
Partner with HR and business teams to deliver data-driven insights, automate reporting processes, and support AI-driven HR initiatives.
Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Business Analytics, Human Resources, or related field.
2–6 years of experience in HR Analytics, People Analytics, Business Analytics, or Data Analytics.
Strong hands-on skills in Python (Pandas, NumPy), SQL, and BI visualization tools like Power BI or Tableau.
Understanding of key HR metrics including hiring, attrition, diversity, headcount, and workforce planning.
Experienced in applying analytics within HR contexts, familiar with HRIS platforms and workforce data specifics.
Skillful in end-to-end data handling—from cleansing and automating reports to predictive modeling and visualization.
Comfortable working with AI tools (including Generative AI) to enhance HR analytics and automation in a technology-driven environment.