Senior HR Data Analyst

Role :

Location :

Notice Period :

""vasanth@vegaintellisoft.com""

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.