via Career pages·1w ago
Principal Associate - People Analytics
Myntra
Full-timeOn-sitedata analysisdata modellingprocess automation
Location:Bangalore, KarnatakaType:Full-timePosted:1w ago
Job Description: Principal Associate (E3) – People Analytics Lead
1. AI Transformation & Innovation
- GenAI Integration: Reimagine legacy HR workflows by integrating LLMs (e.g., ChatGPT, Claude) to automate text analysis, summarize employee feedback, and build intelligent query interfaces for HR business partners.
- Forward-Looking and Integrated Analytics: Move the organization from descriptive metrics to predictive capabilities (e.g., attrition modeling, talent acquisition forecasting, skill-gap analysis). Look at dashboard reporting optimisations and create narrative capabilities with integrated dashboards.
2. Data Engineering & Modeling
- Data Architecture Alignment: Partner with enterprise data teams to understand our HRIS architecture (e.g., Workday, SuccessFactors), ensuring clean, reliable data pipelines.
- Advanced Modeling: Write optimized SQL queries and develop Python scripts to extract, transform, and load (ETL) complex workforce datasets from disparate sources.
- Infrastructure Design: Build robust data models that serve as the "single source of truth" for all people-related metrics.
3. Analytics, Visualization & Storytelling
- Power BI Engineering: Design, build, and maintain high-impact, interactive Power BI dashboards with sophisticated DAX logic.
- Insight Interpretation: Translate complex statistical outputs into simple, compelling narratives for executive leadership, turning raw numbers into strategic business decisions.
4. Process Automation
- Efficiency Optimization: Identify manual, repetitive reporting processes within HR and eliminate them using Python automation, low-code tools, or API integrations.
- Scalable Solutions: Build self-service analytics tools that empower HR leaders to access insights instantly without manual intervention.
Technical Expertise
- Coding & Databases: High proficiency in SQL (complex joins, CTEs, window functions) and Python (pandas, numpy, scikit-learn, or similar libraries for data manipulation and automation).
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