Lead Analytics Engineer: Scale Data Assets & Standards

H&M; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

25% staff discount on all H&M Group in

HIP – Incentive Program

Wellness benefit 4000kr/year

Pension and life insurance via a union

Job summary

H&M Group is seeking a Lead Data Analyst focused on Analytics Engineering to raise the analytical and technical maturity of our Data Analysts by establishing standards and providing hands-on guidance. You will lead adoption of Analytics Engineering across the organization, helping teams model, govern, and consume data with scalable, maintainable data products.

You will drive cross-functional initiatives, balance strategy with execution, and nurture a culture of knowledge sharing and continuous

Qualifications

• Bachelor’s degree or equivalent in a relevant field.
• Strong SQL and data modeling principles.
• Experience with analytics engineering and data products.

Responsibilities

• Lead complex analytical initiatives end-to-end, from problem framing and data exploration to modeling and actionable insights.
• Translate strategic questions into analytical approaches, scalable data models and insights.
• Develop reusable data assets, templates, and frameworks to enable scalability.
• Champion Analytics Engineering practices and maintainability of data products.
• Own and drive the Analytics Engineering community and standards.
• Design and deliver training sessions, workshops, and documentation.
• Identify opportunities to improve data literacy and analytics capabilities.
• Mentor colleagues and promote knowledge sharing.

Skills

SQL

Data Modeling

Data Warehousing

Python

R

Stakeholder Management

Communication

Analytics Engineering

Git

CI/CD

dbt

Power Query

Education

Bachelor's degree in Statistics, Engineering, Computer Science, or a related field

Tools

dbt

Power Query

Git

Python

R

Job description

H&M Group is seeking a Lead Data Analyst focused on Analytics Engineering to raise the analytical and technical maturity of our Data Analysts by establishing standards and providing hands-on guidance. You will lead adoption of Analytics Engineering across the organization, helping teams model, govern, and consume data with scalable, maintainable data products.

You will drive cross-functional initiatives, balance strategy with execution, and nurture a culture of knowledge sharing and continuous