Principal Associate - People Analytics

Myntra; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Myntra is hiring a Principal Associate (E3) - People Analytics Lead to shape our workforce strategy at the intersection of HR, data engineering, and AI. You will architect data ecosystems, leverage GenAI to automate insights, and drive predictive analytics across the organization.

You will build scalable data models, pipelines, and interactive dashboards, turning complex statistics into actionable strategies for executive leadership.

Qualifications

• Strong SQL querying, complex joins and window functions.
• Proficient Python for data manipulation and automation (pandas, numpy).
• Experience with Generative AI tools/APIs for data extraction and NLP tasks.
• Solid understanding of HRIS architecture and data pipelines.

Responsibilities

• Lead AI transformation initiatives within People Analytics.
• Integrate GenAI tools to automate HR processes and insights.
• Develop predictive models for attrition, talent forecasting, and skill gaps.
• Build robust data models and pipelines across HRIS systems.
• Design and maintain Power BI dashboards with advanced DAX logic.
• Translate analytics into concise narratives for leaders.

Skills

SQL proficiency

Python proficiency

Generative AI experience

HRIS architecture understanding

Tools

SQL

Python

Power BI

OpenAI API

Anthropic API

Job description

Who are we?

Myntra is India’s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we’ve always believed in disrupting the ordinary.

About The Company

Who are we?

Myntra is India’s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we’ve 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. We’re 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.

We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.

From our humble beginnings as a customization company 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.

Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.

Job Description: Principal Associate (E3) – People Analytics Lead

Role Overview

The People Analytics function is undergoing a paradigm shift. We are 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 not just manage data; you will architect the ecosystem that drives our workforce strategy. This role sits at the intersection of Human Resources, Data Engineering, and Artificial Intelligence. You will leverage advanced data modeling, process automation, and Generative AI (LLMs like ChatGPT, Claude, etc.) to transform raw HR data into automated, actionable, and scalable insights.

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.

Required Skills

data analysis, data modelling, process automation, hris architecture