Commercial Business Analyst
About this role
Company Description
Job Description
WHAT YOU'LL DO
As a Commercial Business Analyst, you work in commercial analytics, using data and insights to support sales, marketing and e-commerce performance. This role covers our SEA Sales Market in Malaysia, Singapore, Philippines and Vietnam.
You will:
- Plan, quantify and drive execution of tactical activations in Sales Market, in collaboration with Continent Supply Planning (SP), within the budget and frame set by Global
- Analyze sales, customer, and web performance data to generate insights that support commercial decisions
- Monitor and follow up on business performance, identifying opportunities and driving actions together with Commercial teams
- Conduct 360 analysis across customer, product, and channel performance (.com & app) to strengthen commercial strategies
- Evaluate and provide insights on campaign effectiveness, conversion performance, and customer behaviour to improve results
- Drive testing and optimization (e.g. A/B testing, segmentation, cohort analysis) to enhance customer experience and conversion
- Ensure accurate data tracking, tagging, and reporting to support reliable insights and performance visibility
- Collaborate with Commercial, E‑com, Experience, and Marketing teams to share insights and improve business outcomes
WHO YOU'LL WORK WITH
You’ll work closely with Commercial Leads, E‑com Leads, Experience teams, and Marketing teams—supporting decision-making and performance through data and insights.
This role will be reporting to the Commercial Manager.
WHO YOU ARE
We are looking for people who…
- Have a Bachelor’s degree in Business, Marketing, Data Science, Statistics, Economics, or related field
- Bring 2+ years of experience in commercial analytics, preferably in e‑commerce or fashion retail
- Have strong knowledge of analytics tools (e.g. Google Analytics, Adobe Analytics, Tableau, Power BI)
- Understand A/B testing, web tracking, and data analysis methodologies
- Are analytical, structured, and confident working with data to generate insights
And people who are…
- Collaborative and communicative, able to work across functions
- Commercially aware, connecting data insights to business impact
- Proactive and detail-oriented, ensuring accuracy and follow-through
- Curious about customer behaviour, digital performance, and continuous improvement
WHO WE ARE
H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.
We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future.
WHY YOU’LL LOVE WORKING HERE
At H&M Group, we are proud to be a vibrant and welcoming company. We offer our colleagues attractive benefits with extensive development opportunities around the globe.
- All our colleagues receive a global employee discount, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, H&M HOME, & Other Stories, ARKET, Afound. In addition to our global employee discount, all our colleagues are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here.
- In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries.
JOIN US
Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.
Take the next step in your career together with us. The journey starts here.
If you feel that your experience, skills and ambitions are right for this role, please send your application in English as soon as possible. Due to data policies, we only accept applications through career page.
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