Senior Data Analyst (Retail)

H & M Hennes & Mauritz Gbc AB

Stockholms kommun

On-site

SEK 500,000 - 700,000

Full time

14 days+
Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Benefits offered by this job

30 days holiday
25% staff discount
H&M Incentive Program
Wellness benefit 4000kr/year
Community with activities
Pension and life insurance

Job summary

H & M Hennes & Mauritz Gbc AB is seeking a Senior Data Analyst to enhance in-store technology and customer experiences. In this role, you'll analyze retail tech initiatives and provide actionable insights based on data, collaborating closely with cross-functional teams.

The ideal candidate has relevant experience or a degree in Statistics, Engineering, or Business, with solid data analysis skills and proficiency in SQL and either Python or R. This position offers a dynamic work environment with 30 days of holiday and various employee benefits.

Qualifications

  • Applicable working experience in data analysis or a degree.
  • Experience with SQL and either Python or R.
  • Strong analytical mindset and problem-solving skills.

Responsibilities

  • Analyze retail tech initiatives for in-store technology and customer experience.
  • Translate complex data into actionable insights for product teams.
  • Drive analyses from business needs through conclusions and storytelling.

Skills

Data analysis
SQL
Python
Problem-solving
Communication

Education

Bachelor's degree in Statistics, Engineering, Business, or related field

Job description

Job Description

As a Senior Data Analyst in Retail, you will help teams understand what the data is telling us and use those insights to improve in‑store technology and customer experiences across our stores. You will work at the intersection of data, technology, and business to make sure insights are turned into concrete actions.

What You'll Do
  • Work hands‑on with analysis across retail tech initiatives such as self‑service checkout, in‑store systems, and customer flows.
  • Translate complex data into clear insights and actionable recommendations for product teams and business stakeholders.
  • Act as a data partner in product teams, challenging assumptions and helping guide data‑driven decisions.
  • Drive end‑to‑end analyses, from understanding the real business need through data exploration to storytelling and conclusions.
  • Help shape how the analytics function evolves as the team builds up and matures.
Who You'll Work With

You will be part of the Retail area and collaborate closely with product managers, product owners, and business stakeholders within Retail Tech. The role involves frequent interaction across teams working with store operations, in‑store technology, and customer‑facing solutions, as well as close collaboration with other analysts across the organisation as the analytics capability continues to grow.

Who You Are
  • Applicable working experience or a Bachelor's degree in Statistics, Engineering, Business, or a related field.
  • Solid experience in data analysis with a strong analytical and problem‑solving mindset.
  • Experience working with SQL and either Python or R.
  • The ability to work with data from multiple sources and draw meaningful conclusions.
  • Experience translating analysis into insights that influence decisions, not just reporting outcomes.
  • Comfort working in less structured environments with evolving requirements.
  • Curious, proactive, and comfortable taking ownership of their area.
  • Strong communicators who can bridge technical insights and business needs.
  • Interested in retail, customer behaviour, and how technology impacts real‑world experiences.
  • Able to work independently while collaborating closely with product and business partners.
  • Motivated by building something new and leaving a tangible mark on how analytics is used.
Benefits
  • 30 days holiday.
  • 25% staff discount usable on all H&M Group brands in stores and online.
  • H&M Incentive Program (HIP).
  • Wellness benefit 4000kr/year.
  • Benify Benefits Portal.
  • Community with activities.
  • Pension and life insurance as part of the collective agreement.
Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Senior Data Analyst, Retail Tech Insights & Impact
Senior Data Analyst, Retail Tech Insights & Impact

H & M Hennes & Mauritz Gbc AB • Stockholms kommun

On-site
SEK 500,000 - 700,000
30 days holiday
25% staff discount
H&M Incentive Program
+3
Data Analyst
Data Analyst

H&M • Stockholms kommun

On-site
SEK 650,000 - 900,000
Staff discount 25%
HIP Incentive Program
Wellness benefit 4000kr/year
+4
Retail Analytics Manager
Retail Analytics Manager

H & M Hennes & Mauritz Gbc AB • Stockholms kommun

On-site
SEK 900,000 - 1,200,000
Data Analyst
Data Analyst

H & M Hennes & Mauritz Sverige AB • Stockholms kommun

On-site
SEK 650,000 - 950,000
Staff discount 25%
HIP program
Wellness benefit 4000kr/year
+2
Data Analyst
Data Analyst

H & M Hennes & Mauritz Gbc AB • Stockholms kommun

On-site
SEK 600,000 - 800,000
30 days holiday
Staff discount 25%
HIP program
+3
Data Scientist
Data Scientist

H & M Hennes & Mauritz GBC AB • Stockholms kommun

On-site
SEK 640,000 - 860,000
30 days holiday
Pension & insurance
HIP
+4
Senior Data Engineer - Tech
Senior Data Engineer - Tech

H&M • Stockholms kommun

On-site
SEK 500,000 - 700,000
25% staff discount
30 days holiday
Wellness benefit of 4000kr/year
+1
Data Scientist
Data Scientist

H&M • Stockholms kommun

On-site
SEK 700,000 - 1,000,000
Staff discount 25%
Annual leave 30 days
Pension and life insurance
+3
Senior Data Engineer - Tech
Senior Data Engineer - Tech

H & M Hennes & Mauritz Sverige AB • Stockholms kommun

On-site
SEK 600,000 - 800,000
25% staff discount
H&M Incentive Program
30 days holiday
+4
Senior Data Engineer - Business Tech
Senior Data Engineer - Business Tech

H & M Hennes & Mauritz Gruppe • Stockholms kommun

On-site
SEK 650,000 - 900,000
25% staff discount
30 days holiday
Pension and life insurance
+2