At a Glance
- Tasks: Shape the data roadmap and drive adoption of self-serve analytics tools.
- Company: Globally recognised British fashion brand with a strong identity.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Be part of an exciting technology-powered transformation programme.
- Why this job: Join a transformative team where your insights will directly influence business decisions.
- Qualifications: Experience as a Business Analyst/Product Owner with a passion for data.
The predicted salary is between 60000 - 80000 £ per year.
The Brand is a globally recognised British fashion brand with a distinctive identity and a loyal, style-conscious customer base operating across retail stores, eCommerce and international markets. The business is in an exciting phase of transformation, investing seriously in its data capability and committed to building a modern, self-serve analytics ecosystem that puts insight at the heart of commercial decision-making. This is a brand where data is genuinely valued at a strategic level and where the right hire will have real influence on how the organisation uses insight to grow.
The Person
They are looking for someone genuinely rare: a hybrid of Business Analyst and Product Owner who lives and breathes data. The ideal candidate will have a proven track record of operating as the bridge between the Insights team and the Data and Engineering function, translating commercial questions from Finance, Merchandising, Ecommerce and Retail into well-structured data products that teams can actually use. They will be comfortable running discovery workshops with senior business stakeholders one day and reviewing a dbt model or semantic layer definition the next. Experience with a modern data stack, ideally BigQuery, Looker and dbt, is important, as is a genuine curiosity for how AI and emerging analytics tools are changing the way data gets delivered. A background in retail, fashion or DTC is strongly preferred; someone who instinctively understands the commercial context behind the data request.
The Role
This is a pivotal position within the Data and Analytics team, reporting into the Global Head of Transformation and working in lockstep with the Head of Insights. The role sits at the heart of Project Nova, the brand's technology-powered transformation programme, and is responsible for shaping the data roadmap, defining and governing metric definitions, translating business ambitions into technical specifications and driving adoption of self-serve analytics tools across the organisation. Day to day this means demand shaping across commercial functions, backlog ownership, user story writing, UAT oversight and acting as the key interface between the business and the Data and Engineering team. It is a role with genuine strategic influence — not just delivering what is asked for, but proactively identifying what the business needs from its data before it knows to ask.
Product owner/Business Analyst employer: WeComm
As a globally recognised British fashion brand, we pride ourselves on fostering a dynamic and innovative work environment where data-driven insights are at the forefront of our transformation journey. Our commitment to employee growth is evident through opportunities for professional development and collaboration across teams, ensuring that every team member can make a meaningful impact on our strategic direction. Located in a vibrant market, we offer a unique blend of creativity and analytics, making us an exceptional employer for those passionate about shaping the future of retail through data.
StudySmarter Expert Advice🤫
We think this is how you could land Product owner/Business Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the brand you're eyeing. A friendly chat can open doors and give you insights that might just set you apart from the crowd.
✨Tip Number 2
Show off your skills! If you've got experience with tools like BigQuery or Looker, make sure to highlight that in conversations. Bring examples of how you've used data to drive decisions in past roles – it’s all about demonstrating your impact!
✨Tip Number 3
Be curious and ask questions! When you get the chance to speak with stakeholders, show your genuine interest in their challenges. This not only helps you understand their needs but also positions you as someone who’s ready to tackle problems head-on.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team and ready to dive into this exciting transformation journey.
We think you need these skills to ace Product owner/Business Analyst
Some tips for your application 🫡
Show Your Passion for Data:Make sure to highlight your genuine love for data in your application. We want to see how you breathe life into numbers and insights, so share examples of how you've used data to drive decisions in previous roles.
Tailor Your Application:Don’t just send a generic CV and cover letter! We’re looking for someone who understands the unique challenges of the fashion retail industry. Make it clear how your experience aligns with our needs and the specific role of Product Owner/Business Analyst.
Be Clear and Concise:When writing your application, clarity is key. We appreciate straightforward communication, so avoid jargon and get straight to the point about your skills and experiences that make you the right fit for us.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our transformation journey!
How to prepare for a job interview at WeComm
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools mentioned in the job description, like BigQuery, Looker, and dbt. Brush up on how these tools can be used to drive insights and support decision-making in a retail context. Being able to discuss specific examples of how you've used these tools will show your genuine passion for data.
✨Bridge the Gap
Prepare to demonstrate how you can act as a bridge between different teams. Think of examples where you've successfully translated complex data needs into actionable insights for stakeholders. This could involve running workshops or collaborating with engineering teams, so have some stories ready that highlight your communication skills and ability to understand both business and technical perspectives.
✨Show Your Curiosity
Express your enthusiasm for emerging analytics tools and AI. Research recent trends in data analytics and be ready to discuss how they could impact the fashion retail industry. Showing that you’re not just knowledgeable but also curious about the future of data will set you apart from other candidates.
✨Understand the Commercial Context
Familiarise yourself with the brand’s identity and its position in the market. Be prepared to discuss how data can drive commercial success in the fashion industry. Understanding the nuances of retail and DTC will help you articulate how you can contribute to the brand's transformation journey.
