Senior Manager Business Insights

PUMA SE; India; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

PUMA welcomes candidates for a senior analytics role based in Bangalore, India. You will conduct deep-dive analysis across merchandising, pricing, promotions, demand, CRM and content to drive commercial performance.

With 6–8 years in business analytics and hands-on SQL, Power BI, Python and advanced Excel, you will transform insights into actionable recommendations and partner with cross-functional teams to optimize eCommerce outcomes.

Qualifications

• 6–8 years of experience in Business Analytics or related field.
• Experience in E‑commerce is mandatory.
• Ability to translate complex data into business recommendations.
• Proficient with SQL, Power BI, Python and advanced Excel.
• Experience with D2C/fashion/retail or consumer brands is preferred.

Responsibilities

• Analyze performance across revenue, traffic, conversion, AOV, margins and KPI trends.
• Deep dive into merchandising, pricing, marketing, CRM and content to drive impact.
• Apply driver-tree, cohort and funnel analyses to explain changes.
• Translate findings into prioritized, executive-ready recommendations.

Skills

SQL

Power BI

Python

Excel

Job description

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine.

• Conducts deep-dive analysis across merchandising, pricing, promotions, demand, marketing, CRM, content,supply chain,customer behavior and purchase performance.
• Identifies performance drivers, quantifies opportunities and investigates business issues using structured, hypothesis-led analysis.
• Transforms complex findings into clear, actionable commercial recommendations for markets and global stakeholders.
• Supports performance reviews and planning with decision-ready visualization, strong data storytelling and evidence-based challenge.
• Understands decision driver trees across levers in Ecom and performs RCA to identify the key actions to unlock value.

IDENTIFY - Monitor and identify anomalies and opportunity pockets in commercial performance impacting key metrics. Create tangible hypotheses for data deep dives.

ANALYZE - Explore commercial performance across markets, categories, channels, customers and the eCommerce funnel. Analyze across critical levers to create data validated statements.

DIAGNOSE - Use structured problem-solving to isolate root causes, relationships, risks and opportunities. Arrive at valid data backed conclusions which can be acted upon.

RECOMMEND - Convert findings into prioritized actions supported by impact sizing, evidence and business context.

KEY RESPONSIBILITIES:

COMMERCIAL PERFORMANCE ANALYSIS

• Analyze performance across revenue, traffic, conversion, average order value, margin, demand, returns, promotions and customer KPIs.
• Deep dive across merchandising, pricing, marketing, CRM, content and purchase behavior.
• Identify material trends, emerging risks and commercial opportunities.

ROOT-CAUSE & OPPORTUNITY ANALYSIS

• Apply driver trees, segmentation, cohort, funnel and variance analysis to explain performance changes.
• Form and test hypotheses, distinguish signal from noise and quantify the size of opportunities.
• Combine multiple data sources and business context into a coherent commercial view.

INSIGHT DEVELOPMENT & STORYTELLING

• Translate findings into clear, prioritized and commercially relevant recommendations.
• Create compelling, executive-ready narratives through data visualization and strong storytelling.
• Support market reviews, commercial planning and performance discussions with evidence-based inputs.

CROSS-FUNCTIONAL COLLABORATION

• Work with market teams and Merchandising, Pricing, Demand, Marketing, CRM, Content and Commercial Planning stakeholders.
• Align analytical scope, clarify business questions and communicate assumptions, limitations and implications.
• Contribute reusable analytical approaches and best practices to the Commercial Excellence team.

EXPERIENCE REQUIREMENTS

• 6–8 years in Business Analytics, Commercial Analytics, eCommerce Analytics, Insights, Consulting or a related discipline.
• Experience in E-com sector mandatory with understanding of how each lever across merchandising, pricing, demand, marketing, CRM, content work together to drive commercial impact
• Strong experience working with complex datasets and translating findings into business recommendations..
• Hands-on proficiency in SQL, Power BI, Python or equivalent visualization tools, and advanced Excel.
• Experience in D2C brands, fashion retail, consumer retail, sportswear -digital-first or eCommerce brands is preferred.

PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at PUMA and we do not tolerate any form of harassment or discrimination.

At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal opportunity - no matter your background, identity, or experience. To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.

PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000 employees worldwide.

Welcome to Bangalore, India, one of the liveliest places in the world. With its lively mix of nationalities, PUMA feels right at home.