lllllllllllllllllllJanuary 18, 2025

Manager – Data Analytics

  • Data Science & Analytics
  • Full Time, Permanent
  • 4 days ago

Job Information

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    Salary Rupees Not Disclosed / Yearly
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    Shift Day shift
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    No. of Openings 1 opening
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    Job Level : Executive
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    Job Experience : 10 - 18 years
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    Job Qualifications Any Graduate

Job Description

Role & responsibilities

  • Develop and implement a data strategy to support talent acquisition goals.
  • Lead the collection, analysis, and reporting of talent acquisition data, including candidate sourcing, pipeline metrics, interview-to-hire ratios, time-to-fill, and quality of hire.
  • Collaborate with HR leadership to align data analytics with recruitment objectives and broader organizational goals.
  • Oversee the implementation of data-driven tools and techniques (e.g., predictive analytics, machine learning) to improve recruitment processes.
  • Analyze recruitment metrics to identify trends, inefficiencies, and opportunities for improvement.
  • Create dashboards, reports, and visualizations that provide real-time insights to recruitment teams and leadership.
  • Monitor and report on key performance indicators (KPIs) such as cost-per-hire, candidate experience, diversity metrics, and hiring manager satisfaction.
  • Provide insights into candidate pipeline health, identifying potential bottlenecks and advising on proactive measures.
  • Use historical data and trends to develop forecasts and predictive models for talent needs, helping HR teams anticipate future hiring demands.
  • Lead the development of DEI analytics to track progress on diversity hiring goals.
  • Analyze and report on diversity metrics across the talent acquisition funnel (e.g., applicant diversity, diverse interview panels, equitable offer rates).

Preferred candidate profile

  • Bachelors or Master’s degree in data analytics, statistics, HR management, or related fields.
  • 7+ years of experience in data analytics, preferably within talent acquisition or HR functions.
  • Strong experience with HR analytics platforms, Applicant Tracking Systems (ATS), and HR Information Systems (HRIS).
  • Proficiency in data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python, SQL).
  • Demonstrated experience in predictive modeling, workforce planning, and recruitment forecasting.
Perks and benefits
Full Time, Permanent
Education
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