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Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

JOB RESPONSIBILITY

  • Primary duties may include but are not limited to: Build data models and dashboards to derive meaningful insights.
  • Performs data mining, analytics, data interpretation and statistical modeling to drive improved workforce outcomes. Develops data mining techniques, reports, statistical methodologies, predictive models, and analytical capabilities using structured and unstructured data.
  • Connects program and process data to performance outcomes, develops advanced dashboards, scorecards, metrics and indices reflective of learning, workforce and business objectives.
  • Trains and promotes use of dashboards and other interactive analytical reporting tools.
  • Consults with Human Resources, Learning & Development and the Business to evaluate needs, formulate the analytics plan, select appropriate data elements and metrics, determines and conducts data sourcing and extraction techniques, identifies and reports data trends, correlations and causations, conducts statistical modeling and analysis, and advises end-users regarding interpretation and best use of information to optimize workforce outcomes to drive individual and organizational performance improvement.
  • Partner with Senior leadership to support People analytics deliverables related to Organization Strategy (e.g., diversity, retention, attrition etc.)
  • Point of contact and subject matter expert for ad hoc people data and analytics requests
  • Identify data capture and analytics efficiency improvements and collaborate with teams to implement
  • Maintain unwavering confidentiality of HR information

QUALIFICATION

  • Graduate degree in business analytics, statistics, math, or computer science.

EXPERIENCE

  • Overall 8+ years of experience with 2+ years experience in an analytical role under HR related analytics

SKILLS AND COMPETENCIES

Must Have:

• Expert in Reporting tools, SQL, Power platforms and MS Suite.

• Analytical skills; hands-on experience in deriving insight from large datasets.

Good to Have:

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