Senior Engineer - Product Data Analysis

Company Description

The H&M Group is on a journey to meet and exceed our customers' expectations for today and the future. Through collaboration, innovation, and technology, we challenge ourselves and the industry. To cater to the individual needs and desires of our millions of customers, our tech organisation delivers solutions for the entire value chain for all our brands.

We are accelerating digitalisation, and to remain relevant, we need to ensure we have strong leaders to bring our best capabilities, innovative ideas, and talented technologists to facilitate the transformation of the H&M Group.

Job Description

Are you a senior analytics leader passionate about unlocking insights for better digital customer experiences? Are you interested in forming and coaching a formidable team of data analysts? Are you motivated by leading a digital transformation, instilling new ways of working and capabilities that will drive the growth of the H&M Group?

As the Area Lead Engineer for product data analysis, you are a driven leader, and you will play an essential role in our mission to make H&M a purely data and insight-driven company. You will be accountable for Data Analysts working across product organizations and within AIAD who focus on working as a critical enabler to secure the realization of business value from analytics, data, and models in our products.

Responsibilities

1. Leadership and Team Management:

• Lead and mentor a team of product data analysts and engineering managers, providing strategic/technical guidance, fostering collaboration, and promoting a culture of continuous learning and innovation.
• Passionate about people in all aspects - Recruit, develop, and grow the data analyst team across products & AIAD tech centres, including staff responsibility for data analyst competence leads.
• Develop and ensure proper KPIs and measurement plans are in place for all products.
• Drive a cultural shift from being reactive and accepting requirements towards actively engaging in the team mission, working in close collaboration with stakeholders like Valuestream Managers and other Area managers in AIAD to understand the needs of Data Analyst competence.

2. Data Analysis & Insights Generation:

• Collaborate with cross-functional teams to translate data findings into actionable strategies for product enhancement, user experience optimization, and business growth.
• Operate as part of the Unit leadership team, ensuring our product strategy and product roadmaps are grounded in quantitative insights.
• Be part of Unit management.
• Help define/understand KPIs for AIAD and the units together with the Strategy & Steering team.

3. Technical Expertise:

• Possess a deep understanding of data analysis concepts, statistical modeling, and data engineering principles.
• Utilize programming languages (for example, Python, R, SQL) and data analysis tools to manipulate and analyze large datasets.
• Leverage data visualization tools and techniques to effectively communicate complex data insights to stakeholders.

4. Collaborative Partnerships:

• Collaborate closely with product managers, designers, engineers, and other stakeholders to understand business requirements, align data analysis initiatives with product goals, and drive data-informed decision-making.
• Act as a trusted advisor and provide strategic guidance on data-driven product optimization and improvement.
• Design advanced analytics solutions together with business stakeholders and product/analytics teams to maximize impact; function as the link and catalyst.

5. Continuous Improvement:

• Inspire teams in data-driven product development and a test & learn culture.
• Compile and communicate a regular overview of tech centre KPIs, conducting adhoc analysis as relevant to understand the 'why' behind changes in KPIs.
• Identify opportunities for process optimization, automation, and innovation to enhance the efficiency and effectiveness of data analysis workflows.

Qualifications

Education:

• Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field. Advanced degree preferred

Experience:

• 10 years of experience in product data analysis, data engineering, or a related role, with a proven track record of delivering data-driven insights and leading teams.
• Multiple years of leadership experience with the ability to nurture, guide, build trust & take the lead, collaborate and be open for new perspectives.
• Proven ability to deliver results in a matrix organization and a natural inclination to bring people together across functions to share knowledge and insights.

Technical expertise:

• Strong proficiency in data analysis tools and programming languages (for example, Python, R, SQL).
• Experience with data visualization tools (for example, Tableau, Power BI, Data Studio or other DV tools) to create compelling visualizations and reports.
• Web analytics, (ex-Google Analytics, Adobe Analytics), Visual Analytics ex Clicktale, Content Square), Experimentation (ex. Optimizely)
• Knowledge of statistical analysis techniques and methodologies.
• Familiarity with data engineering principles and data architecture.

Leadership & Communication skills:

• You are an excellent communicator with the capability of effectively communicating complex data into insight and narrating a story around it to guide roadmaps and priorities, to the tech/non-tech stakeholders.
• Demonstrated leadership abilities with experience in managing and mentoring a team.
• A proven ability to deliver results in a matrix organization and a natural inclination to bring people together across functions to share knowledge and insights.

Business Acumen: Understanding of product development processes and business strategies, with the ability to align data analysis initiatives with product objectives and outcomes.

• Azure, PowerPoint, Web analytics, (ex-Google Analytics, Adobe Analytics), Visual Analytics (ex. Content Square)
• Experimentation (ex-Optimizely)

Additional Information

Working with tech at the H&M Group
Shaping the future of fashion with people, data, and tech. The fashion and retail industries are undergoing a transformation, driven by customers' technology and sustainability expectations. At the H&M Group, we aspire to shape the future of fashion and lifestyle by harnessing the power of smart tech and data. With our 74-year history of innovation, we understand the need to collaborate and co-create with engineers and tech specialists around the world to achieve our vision.

What we offer!
By joining us, you're joining a unique value-driven culture, a large tech network, and a community where you can be yourself. Besides regular benefits such as staff discount card, flexible work life, learning communities, wellness benefits, parental benefits, etc., there are endless opportunities for experimentation and growth in any direction of your choosing. As a major player, we provide countless opportunities to make a real impact and shape the future.

We are committed to creating an inclusive & diverse workplace with a culture that is dynamic and innovative.

Interested?

This is a full-time position based in Stockholm. Please apply as soon as possible, but no later than the 18th of November. We will review and interview applicants on an on-going basis. If you have any questions, please contact Talent Acquisition Partner - Shriti Shetty.

We do not accept applications through email due to GDPR