Básico
Senior Data Analyst
Publicado: 31.05.2026
Data de encerramento: 15.07.2026
Referência de emprego: 19fa7248c42463a27c87b9b8124e620f
Informação do emprego
Localização
Stockholm, Stockholm County, Sweden
Empresa
TN Sweden
Cliente / Empregador
H&M Group
Referência de emprego
19fa7248c42463a27c87b9b8124e620f
Tipo de listagem
Básico
É necessária autorização de trabalho da UE
Não
Publicado
31.05.2026
Data de encerramento
15.07.2026
Descrição do cargo
Job DescriptionWHAT YOU’LL DO We are seeking an experienced Data Analyst to lead and coordinate analytical initiatives across one of our Areas within Commercial. This role involves driving the full analytical lifecycle, from hypothesis development through data analysis to actionable insights and strategic recommendations while ensuring data quality, accessibility, and reliability throughout the process. In addition to the responsibilities above, your role will include: Partner with Product Managers and stakeholders to shape product strategies and prioritize initiatives through data-informed insights. Drive customer-centricity by analyzing behavioral, commercial, and product performance data to enhance the digital experience. Define and monitor key KPIs and implement event tracking to evaluate product performance and ensure alignment with intended outcomes. Lead the development of business cases by integrating commercial, digital, and user behavior insights. Promote a data-driven culture by enhancing data visibility, educating stakeholders, and translating complex data into actionable narratives. Write efficient SQL and code to query, aggregate, and transform large datasets with high data quality. Use tools such as BigQuery, Looker, and Power BI to explore, visualize, and communicate insights. Actively contribute to the analytics community within the Commercial domain and across the H&M Group. WHO YOU’LL WORK WITH You’ll join a global, cross-functional team committed to delivering exceptional digital experiences through close collaboration, user-centric design, and continuous iteration. The team brings together diverse expertise across Product Design, Analytics, and Engineering, and partners closely with other product teams within the global digital experience organization, as well as key business stakeholders. WHO YOU ARE We are looking for people with… Experience from product or business analysis, customer or commercial analytics, management consulting, or data engineering Strong experience with SQL, proficiency in Python is a plus Previous experience with cloud analytics environments such as Databricks or GCP Previous experience within ecommerce, retail, fashion or tech product driven companies Academic degree within Business Administration, Economics, Engineering (or similar) Experience in working with data visualization tools e.g. Power BI, Tableau, Google Data Studio, Looker Studio, etc Demonstrated ability to synthesize large amounts of data into clear insights Ability to work with multiple stakeholders across different competences (Commercial Leads, eCommerce Managers, Product Managers, Developers, Designers, Data Engineers, etc.) Be comfortable with working within a large matrix organization Strong communication skills and an ability to communicate and explain data and its implications to various stakeholders Analytical mindset with strong problem-solving skills Fluent in English (written and spoken) And people who have… Experience working in agile, iterative product development environments A proactive, ownership-driven attitude with the ability to manage ambiguity and adapt quickly to change Curiosity and a continuous improvement mindset, always looking for ways to enhance the product and the team’s ways of working 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 We offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, 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, Monki, H&M HOME, & Other Stories, ARKET. In addition to our staff discount, all our employees 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. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application. Please note that we are hiring for two positions, one permanent role and one 12-month parental leave cover.Array
Competências
analyse big data
apply statistical analysis techniques
Business Analytics
Business Intelligence
cloud technologies
collect ICT data
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data storage
data visualisation software
Database
define data quality criteria
deliver visual presentation of data
digital data processing
documentation types
establish data processes
execute analytical mathematical calculations
Game Theory
gather data for forensic purposes
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
Information Architecture
information categorisation
information confidentiality
Information Extraction
information structure
integrate ICT data
interpret current data
LDAP
LINQ
make data-driven decisions
manage cloud data and storage
manage data
manage data collection systems
manage quantitative data
Marketing Analytics
MDX
multidisciplinary research
N1QL
normalise data
online analytical processing
perform data cleansing
perform data mining
query languages
report analysis results
Research Design
resource description framework query language
Social Network Analysis
SPARQL
statistical modeling techniques
Statistics
store digital data and systems
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
Web Analytics
XQuery