Lead - HR

Job Summary And Responsibilities

HR DATA & ANALYTICS LEAD

Key Responsibilities

HR Data Platform & Engineering (50%)

• Lead the design and management of HR data platforms on AWS (S3, Redshift, Glue, Lambda, RDS, EMR).
• Build and manage data integrations (API, SFTP, flat files) across HR systems
• Develop and maintain scalable data models covering employee lifecycle, workforce movements, compensation, and performance.
• Create reliable data pipelines and workflows ensuring timely, accurate, and governed data.
• Implement historical tracking (e.g., SCD Type 2) for trend analysis.
• Optimize SQL queries, data transformations, and database performance.

HR Analytics & Insights (40%)

• Build and evolve leadership dashboards delivering descriptive, diagnostic, predictive, and prescriptive insights.
• Analyze key workforce metrics (attrition, hiring, diversity, performance, productivity) to identify trends and root causes.
• Develop predictive models (e.g., attrition risk, workforce demand forecasting).
• Translate analysis into actionable recommendations for HR and business leaders.
• Partner with stakeholders to define problem statements and measure impact of HR interventions.

Data Governance & Compliance (10%)

• Ensure compliance with data privacy and regulatory standards (PII protection, audit readiness).
• Implement data quality checks, lineage tracking, and governance practices.
• Enforce secure, role-based access and data protection controls.

Required Qualifications

Job Requirements and Qualifications

• 5+ years of experience in AWS data services (S3, Redshift, Glue, Lambda, RDS)
• Strong expertise in data modeling, ETL/ELT pipelines, and enterprise data architecture
• Experience building database objects (tables, views, stored procedures, functions)
• Experience integrating API-based enterprise systems into cloud platforms
• Experience with BI tools (Power BI, Tableau, or Qlik)
• Experience in people analytics, statistical analysis, or predictive modeling
• Proficiency in SQL; working knowledge of Python/R is preferred
• Strong understanding of HR domains (workforce planning, attrition, performance, compensation)
• Strong stakeholder management and problem-solving skills