Role Overview:

As the Manager/Senior Manager - HR Analytics/People Analytics, you will be instrumental in building and scaling our people analytics function. You will be responsible for translating business needs into actionable insights through data analysis, predictive modeling, and compelling visualizations.

You will collaborate closely with HR business partners, talent acquisition, compensation & benefits, and business leaders to provide data-driven recommendations that improve employee engagement, optimize workforce planning, and enhance overall organizational effectiveness. Your work will directly impact our ability to attract, retain, and develop top talent, contributing to the overall success of TABLESPACE TECHNOLOGIES LIMITED.

Key Responsibilities:

- Develop and execute the people analytics strategy, aligning it with overall business objectives and HR priorities.

- Conduct in-depth analysis of HR data, including employee demographics, performance metrics, engagement surveys, and attrition rates, to identify trends and opportunities.

- Build predictive models to forecast future workforce needs, identify high-potential employees, and predict employee turnover.

- Design and implement data visualizations and dashboards to communicate key insights to stakeholders across the organization.

- Partner with HR business partners to provide data-driven recommendations on talent management, compensation, and employee development programs.

- Lead workforce planning initiatives, providing data and insights to support strategic staffing decisions.

- Evaluate the effectiveness of HR programs and initiatives using data analysis and statistical methods.

- Ensure data quality and integrity by implementing data governance policies and procedures.

- Stay abreast of industry trends and best practices in people analytics and HR technology.

Required Skillset:

- Demonstrated ability to translate business questions into analytical frameworks and deliver actionable insights.

- Strong proficiency in statistical modeling, data mining, and predictive analytics techniques.

- Expertise in data visualization tools such as Tableau, Power BI, or similar platforms.

- Excellent communication and presentation skills, with the ability to effectively communicate complex data insights to both technical and non-technical audiences.

- Solid understanding of HR processes and data, including talent acquisition, performance management, compensation, and employee engagement.

- Experience with HRIS systems (e.g., Workday, SAP SuccessFactors) and data extraction techniques.

- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.

- Ability to work collaboratively in a fast-paced, dynamic environment.