About The Company :

Myntra is Indias leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, weve always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. Were bold in our thinking, agile in our execution, and collaborative in spirit. Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.

Role Overview :

The People Analytics function is moving away from traditional, rearview-mirror HR reporting and stepping into the future of predictive, AI-augmented talent intelligence. As the Principal Associate (E3) People Analytics Lead, you will architect the ecosystem that drives our workforce strategy. This role sits at the intersection of Human Resources, Data Engineering, and Artificial Intelligence.

Core Responsibilities :

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.

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.

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.

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.

Key Skills & Qualifications :

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).

- Business Intelligence: Advanced expertise in Power BI (dashboard design, data gateway management, and DAX).

- AI Literacy: Demonstrated experience leveraging Generative AI tools/APIs (OpenAI, Anthropic) for data extraction, code generation, or natural language processing (NLP).

- HRIS Architecture: Strong conceptual understanding of how HR information systems are structured, integrated, and scaled.

Professional Competencies :

- Data Interpretation: Ability to look beyond the dashboard to identify systemic workforce trends, risks, and opportunities.

- Stakeholder Management: Excellent communication skills to bridge the gap between highly technical data engineering teams and non-technical HR business partners.

- Problem-Solving Mindset: An experimental, curious approach to solving ambiguous workforce challenges using technology.