Deputy Manager - HR Analytics

Deputy Manager HR Analytics

Description

HR Analytics & Data Management

• Design and maintain a central HR data warehouse (Snowflake) with robust ETL (Extract, Transform & Load) processes.
• Integrate multiple HR systems to ensure accurate, secure data pipelines.
• Create automated data extraction and dashboarding processes for periodic standard reporting and visualization ensuring accessibility, accuracy, and security.
• Develop a script-based data extraction mechanism on longitudinal and diverse datasets for regular reporting and insights.
• Continuously upgrade HR dashboards and analytics platforms to deliver actionable insights for leadership decision-making.
• Support Businesses and HR BPs with on-demand employee reports from SnowFlake or other data sources.
• Manage data optimization and automation projects to create a futuristic and sustainable HR Analytics function.

HR Analytics & Insight Generation

• Conduct hypothesis driven integrated analytics on people data to generate actionable insights.
• Perform periodic analytics on monitor organizational structures (eg. Span of Control) and recommend optimizations.
• Analyze key HR metrics periodically and build automation to present them to key stakeholders.
• Analyze productivity, attrition, and exit interview data to identify improvement areas.
• Act as a subject matter expert (SME) for people data and analytics.

Workforce Planning & Budgeting

• Contribute in the bi-annual workforce planning during Long Range Strategy and Annual Operating Planning.
• Design templates and collect inputs for workforce planning in collaboration with Finance and HR.
• Collect inputs from each functions and calculating estimated productivity and spans in the budgeted period.
• Estimate costs at grade and functional level for fixed and variable costs.
• Collaborate with businesses, finance and HR BPs to arrive at final headcount budgets.
• Manage the budgeted headcounts and share to respective stakeholders.
• Track Manpower Planning Committee (MPC) approvals periodically and update approved headcount accordingly.

Predictive Analytics

• Build and refine predictive models resulting in actions across COE HR functions such as Talent Acquisition, L&D, Performance & Rewards.
• Collaborate with analytics teams and leverage statistical/machine learning technologies.
• Incorporate data architecture design to enable future machine learning and AI capabilities.

Project Management and Reporting

• Consolidate and share periodic/customized reports on projects.
• Prepare presentations, reports, and policy documents.
• Monitor project progress, highlight deviations, and strategize corrective actions.
• Present findings in review meetings and incorporate feedback.

Tools & Systems:

• Knowledge of full Tech-stack: Front end, Logical Layer, Data Layer, Analytical Layer.
• Hands-on Programming: SQL, Python / R, HTML, VBA
• Visualization Tools: Power BI / Qliksense
• Statistical Knowledge: Regression Analysis, Factor Analysis, Other Predictive Models
• Experience with HR analytics platforms and data warehousing (Snowflake preferred).

Skills Required

• Knowledge of full Tech-stack: Front end, Logical Layer, Data Layer, Analytical Layer. • Hands-on Programming: SQL, Python / R, HTML, VBA • Visualization Tools: Power BI / Qliksense • Statistical Knowledge: Regression Analysis, Factor Analysis, Other Predictive Models • Experience with HR analytics platforms and data warehousing (Snowflake preferred).

Education/Qualification

BTech/ MBA

Desirable Skills

None