Back
Mid-level HR analytics role, metro location, and a well-known startup brand increase candidate competition.
Core analytics skills transfer across industries, but HR domain knowledge preference makes fit moderately sensitive.
Explicit 3–5 years requirement plus HR domain preference and mandatory analytics tools raises filtering strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end HR analytics process including requirement gathering, data consolidation, dashboard development, and insights delivery.
Develop and maintain interactive HR dashboards and reports covering attrition, headcount, recruitment funnel, and performance metrics using tools like Power BI or Tableau.
Leverage AI tools to enhance data analysis and predictive insights for HR decision-making.
3-5 years of relevant experience in HR analytics, MIS, or data analytics roles with strong preference for HR domain exposure.
Advanced proficiency in Excel/Google Sheets (pivot tables, lookups, array formulas).
Working knowledge of at least one visualization tool: Power BI, Tableau, or Looker Studio.
Graduate/Postgraduate degree in any discipline; background in Statistics, Commerce, HR, or Data Analytics preferred.
Experienced in translating HR business needs into technical requirements and BI solutions.
Skilled in consolidating and cleaning multi-source HR data with strong attention to detail and data accuracy.
Proficient in using AI-assisted analytics tools to improve reporting efficiency and predictive HR analytics.