Web Data Analyst (Senior)

H&M group; London; On-site; GBP 40,000 - 70,000

Job description

COS offers a wardrobe of ready-to-wear and accessories for a life well dressed. Rooted in luxury design and compelling fashion movements, the collection plays meticulous attention to sustainable craftsmanship, quality and a superior colour palette that transcends time. The creative soul of the brand is visualised through original storytelling, seasonal runway shows and contemporary culture to create an experience beyond the expected. Learn more about COS here.

Job Description

If you are passionate about data and eager to tackle some of the most exciting analytics use cases to optimise online experience in the fashion retail industry, COS is the place for you!

We are seeking a senior data analyst (web) to join COS web data analytics product team, within COS AI, Analytics & Data department. In this role, you will play a crucial part in driving data-driven decision-making for full-funnel behavioural analysis related to website traffic, user behaviour, product performance, and sales performance across all our online/digital channels globally. You will be responsible for conducting in-depth data analysis for enhancing performance of our website, optimizing our web analytics tools and platforms, and collaborating with stakeholders to turn web data into actionable insights that support business objectives.

What you will do:

• Proactively identify strategic challenges and opportunities where decision support anchored in data is needed with a primary focus on optimizing online experience.
• Be the driver for data-driven decision making in your initiative/product team by converting data from diverse sources into insights and providing the team with a clear, comprehensive 360 view of online customer behaviour and data-driven recommendations for online performance.
• Apply advanced analytics methods and tools to model, execute and follow up initiatives from idea to industrialization.
• Be responsible for the full analysis process from problem and scope definition to data extraction, cleaning, analysis, visualization, creating recommendations, and presenting results.
• Turn business challenges into structured data analysis. Define and set up measurable KPIs and OKRs, own and maintain their visualization for commercial performance reporting.
• Be the web data analytics expert in cross-functional teams’ setup and collaborate with business stakeholders to support and guide A/B testing initiatives with the insights (digital optimization, user journey analysis, commercial analysis, etc.).
• Work on a broad variety of business challenges with a wide range of business stakeholders (e-com/digital, CRO, financial controlling, customer, sales, digital marketing/SEO, merchandising, etc.).
• Drive web analytics & support KPIs & goal setting across global & regional teams within COS.
• Build & maintain strong relationships with wider H&M Group central teams in order to define tracking solutions for existing features & new features development.

Qualifications

Alignment to our company values is the most important characteristic we look for in all new joiners. Our values are the behaviours that we appreciate above and beyond anything else. We are open-minded and curious, we dare to be different, we believe in constant improvement and we empower and trust you to take ownership. Our values are part of who we are, what we stand for and how we act.

What you need to succeed:

• Extensive experience as a Data Analyst, Web Analyst, Product/Business Analyst, or in a similar role.
• Academic degree in a quantitative field such as economics, business, engineering, statistics, finance, or computer science.
• Strong business acumen with the ability to make sound interpretations of data and other information.
• Excellent communication skills, adept at translating and explaining complex data analysis to non-technical and senior stakeholders.
• Proficient in writing advanced SQL queries to extract, prepare, validate, and analyze large data sets.
• Proven expertise in conducting advanced web analyses using tools like GA4, Adobe Analytics, and Search Console, with a deep understanding of e-commerce metrics and user browsing behavior across multiple devices.
• Experience with marketing attribution models, demonstrating how different models can impact the perceived value of marketing channels.
• Hands-on experience with data visualization tools such as Looker Studio or Power BI.
• Skilled in building data analytics solutions using programming languages like Python or R.
• Experience with cloud platform data analytics stacks, such as Azure (Azure SQL Server) or GCP (BigQuery).
• Proficient in Google Sheets and Excel.
• Understanding of data layers and marketing pixels.
• Collaborative and humble, enjoying teamwork to solve problems.

Additional Information

This is a Full time permanent Contract (On Site) based at our COS Head Office in London.

We offer all our employees attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. 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 this, London based colleagues also receive:

• Up to 25 days holiday
• Discounts on various activities and financial/lifestyle products via our benefits hub
• Cycle to work scheme
• Discounted gym membership
• Employee assistance via retail trust

Inclusion & Diversity

At COS we’re determined to create and maintain inclusive, diverse and equitable workplaces throughout our organisation. Our teams should consist of a variety of people who share and combine their knowledge, experience and ideas. Having a diverse workforce leads to a positive impact on how we address challenges, what we perceive as possible and how we choose to relate to our colleagues and customers all over the world; therefore all diversity dimensions are taken into consideration in our recruitment process.