Manager - HR/People Analytics

ITC Infotech; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

ITC Infotech in Bengaluru is seeking a highly analytical People Analytics professional to drive data-informed HR decisions. You will leverage workforce data to generate insights, build predictive models, and develop dashboards for HR stakeholders.

This internal HR analytics role offers opportunities to expand into broader enterprise analytics over time. Ideal candidates have 2–5 years in HR analytics, strong statistics knowledge, and proficiency in SQL plus Python or R, with experience in Power

Qualifications

• 2–5 years of experience in People Analytics, HR Analytics, or workforce analytics.
• Hands-on with HR datasets and solving people-related business problems.
• Strong foundation in statistics, data analysis, and predictive analytics.
• Ability to derive insights from complex datasets and communicate findings effectively.

Responsibilities

• Analyze workforce data to identify trends, risks, and opportunities across the employee lifecycle.
• Build predictive models and analytical frameworks for attrition, workforce planning, talent acquisition, performance, engagement, and skills.
• Translate business questions into data-driven insights and actionable recommendations.
• Develop dashboards, reports, and self-service analytics solutions for HR stakeholders.
• Partner with HR teams to improve decision-making through advanced analytics.
• Ensure data quality, governance, privacy, and ethical use of employee data.

Skills

SQL

Python

R

Statistics

Education

Bachelor's or Master's in Statistics/Mathematics/Economics/Data Science

Quantitative degree preferred (Statistics/Analytics/AI/ML)

Tools

Power BI

Tableau

Job description

Job Summary

We are looking for a highly analytical People Analytics professional to help drive data-informed decision-making across the HR function. This role will focus on leveraging workforce data to generate insights, solve complex people challenges, and build predictive models that improve organizational outcomes. This is an internal HR analytics role and not a business-facing analytics position. Over time, the role offers opportunities to expand into broader business analytics and enterprise intelligence capabilities.

Responsibilities

• Analyze workforce data to identify trends, risks, and opportunities across the employee lifecycle.
• Build predictive models and analytical frameworks for areas such as attrition, workforce planning, talent acquisition, performance, engagement, and skills.
• Translate business questions into data-driven insights and actionable recommendations.
• Develop dashboards, reports, and self-service analytics solutions for HR stakeholders.
• Partner with HR teams to improve decision-making through advanced analytics.
• Ensure data quality, governance, privacy, and ethical use of employee data.

Required Experience

• 2-5 years of experience in People Analytics, HR Analytics, or workforce analytics.
• Hands-on experience working with HR datasets and solving people-related business problems.
• Strong foundation in statistics, data analysis, and predictive analytics.
• Demonstrated ability to derive insights from complex datasets and communicate findings effectively.
• Strong interest in building a long-term career in People Analytics.

Education

• Bachelors or Masters degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Engineering, or another quantitative discipline.
• Candidates with specializations in Statistics, Analytics, Artificial Intelligence, Machine Learning, or Data Science will be preferred.

Technical Skills

• Proficiency in SQL and at least one analytical programming language such as Python or R.
• Experience with data visualization tools such as Power BI or Tableau.
• Strong understanding of statistical methods, hypothesis testing, and predictive modeling.
• Exposure to AI, machine learning, LLMs, or advanced analytics techniques will be an added advantage.

Preferred Attributes

• Strong problem-solving and critical-thinking skills.
• Curiosity to apply data to solve people challenges.
• Ability to simplify complex analyses into actionable insights.
• Comfortable working with ambiguity and evolving business needs.