Data Analytics Engineering Manager to H&M Business Tech - AIAD
Stockholm, Sweden
H&M Group
We are a family of brands, driven by our desire to make great design available to everyone in a sustainable way.Company Description
H&M Group’s Tech Organization
Rapid technological development is transforming the fashion retail industry. From AI to data-driven business development, user experience to engineering, we turn business challenges into innovative tech solutions – making H&M Group a global leader in combining tech, fashion, and design.
The H&M Group’s Tech organization created a completely new product organization where we explore new ways of working, have a customer focused mindset, embrace our strong values, and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world. The team aims to continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology. To cater to the individual needs and desires of our millions of customers, Business Tech will deliver technological solutions for the entire value chain for all our brands.
Learn more about H&M: Learn more about H&M | H&M Careers (hm.com)
Job Description
The Engineering Manager (Data Analytics) role has a dual focus – staff responsibility and strategic contribution to Product Data Analytics management initiatives. As an EM you will have staff responsibility for Data Analysts within the AIAD (AI, Advanced Analytics &Data) tech center product teams. Your staff responsibility goes across different Product Teams and tasks include guiding your team on competence specific conversations, supporting resource allocation, helping build & improve WoW with Data Analytics. You will support, coach and help your team members grow and develop.
As an Engineering Manager you will work with product managers, program managers, and other EMs to secure the right competences and skillsets across the Data Analyst community. You will collaborate with stakeholders in other product teams/areas and enabling functions and build a broad network within Business Tech. You will be able to try out your creative and innovative ideas – and have a large impact on how we shape the future of analytics across the fashion retail value chain.
You have a strong customer focus, a commercial mindset and innate curiosity. At H&M AIAD you will get the opportunity to work as part of a large data analyst community and in an organization, which heavily relies on making data driven decisions.
Qualifications
To be successful in this role we believe you are equally passionate about being a leader supporting, coaching and helping your team members grow while having a keen analytical ability with an eye for change and improvement opportunities.
- Previous experience from leadership and staff responsibility
- The ability to coach others in a way that enables them to grow professionally and to increase their performance.
- The ability to engage people in high achievements and support them by creating conditions for personal growth.
- Academic degree within Engineering, Business Administration, Economics or similar.
- At least 5-7 years of experience from data analysis, product/business analysis or similar.
- Experience in working with programming/querying languages such as SQL, R or Python.
- Experience in working with data visualization tools e.g. Power BI, Tableau or Looker.
- Good understanding of using numerical, statistical and analytical methods to apply to data processing.
- Great business acumen to be able to guide the Data Analyst team on the value contribution to the success of H&M.
Having a strong desire to set and work with processes and constant improvements in everything you do.
Additional Information
This is a full-time permanent role based in Stockholm.
If you feel that your experience, skills and ambitions are right for this role, please send your resume in English by May 15. Due to GDPR, we do not accept cover letters and applications via email.
We look forward to receiving your application!
H&M is committed to creating a Diverse & Inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability or age
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data Analytics Data visualization Economics Engineering Looker Power BI Python R SQL Statistics Tableau
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Data Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs