Senior HR Data Analyst

6 days ago

Chennai, Tamil Nadu, India Vega Intellisoft Full time ₹ 5,00,000 - ₹ 12,00,000 per year

Role : Senior HR Data Analyst

Location : Chennai

Notice Period : Immediate joiners

Interested people please share your resume to """"

Job Description:

1. Strategic Insight Development:

  • Develop and execute a comprehensive strategy for HR data and analytics aligned with the companys vision and objectives.
  • Proactively identify areas where HR data can provide insights to drive organizational performance and improve employee experience.
  • Create and maintain a roadmap for HR analytics capabilities, focusing on predictive and prescriptive analytics.

2. Data Analysis & Reporting:

  • Build scalable and accessible dashboards that provide real-time HR insights to key stakeholders.
  • Conduct in-depth analyses of workforce trends, employee performance, engagement levels, and other key HR metrics.

  • Deliver strategic reports and presentations that highlight critical data-driven insights and inform HR initiatives.

  • Predictive and Prescriptive Analytics:

  • Leverage data science techniques to forecast future workforce trends, attrition risks, and talent needs.

  • Identify root causes of HR challenges, such as attrition or low engagement, and recommend data-driven solutions.
  • Develop models to understand behaviors of high and low performers and guide leadership on talent management strategies.

4. Collaboration & Communication:

  • Act as a data advocate within HR, promoting a culture of evidence-based decision-making.
  • Collaborate closely with HR leaders and other departments to identify their data needs and ensure integration across business functions.
  • Communicate complex data insights in an understandable and actionable manner to non-technical audiences.

5. Technology & Automation:

  • Identify and implement HR technology solutions that enhance data collection, analytics, and reporting capabilities.
  • Work with IT to ensure data integrity, security, and integration across HR systems.
  • Explore the use of automation (e.g., RPA) to streamline HR operations and enhance data utilization.

6. Continuous Improvement:

  • Regularly review and refine analytics processes to align with evolving business needs.
  • Keep abreast of industry trends and new technologies in data analytics to maintain a cutting-edge HR data strategy.
  • Train and mentor HR team members to build their data literacy and analytical capabilities.

Technical Skills:

  • Proficiency in data visualization tools (e.g., Power BI, Tableau) and HRIS platforms.
  • Strong knowledge of statistical analysis and predictive modeling. (Tableau & R)
  • Familiarity with data manipulation languages (e.g., SQL, Python) is an advantage.

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