Senior Product Analyst / Product Analytics Manager

Frasers Group
London
10 months ago
Applications closed

Related Jobs

View all jobs

Product Manager

Data Science and Analytics Senior Business Analyst

Senior Data Analyst

Senior Analyst & Data Specialist

Senior Data Analyst

Senior Data Scientist

Job Description

Forming part of the group digital analytics function, reporting into the group head of digital analytics. You will work closely with the digital product team (and wider digital functions), to ensure high quality capture of analytics data from our websites and apps and to provide insight to inform our product roadmap and wider strategic decision making.

Lead a small team of product and implementation analysts. Taking ownership for the team’s output and personal development. Be the owner of on-site user behavioural data including its capture and its distribution across the business, supporting all Frasers Group business teams in understanding the user journey.  Develop and maintain strong relationships with the product function, imbedding analytical practices and ways of working into all product development. Aligning product, UX, user testing and analytics functions to deliver a best-in-class product development cycle. Utilise experimentation concepts to measure the efficacy of our feature development. With support from an external agency and internal resource, manage the roadmap for implementation of analytics and marketing capabilities, ensuring clean and robust data capture.

Qualifications

Experience in management or mentorship of other colleagues. Expert communicator, with the ability to flex their presentation style based on the audience. Proficiency with SQL (required) and R/Python (nice to have). Strong visualisation skills (e.g., PowerBI, Looker, Tableau etc.). Extensive experience working in a product analytics position ideally within an ecommerce / retail business. Understanding of customer data platform capabilities and their role in the capture of customer / user journey data. Experience working with technology and data engineering functions. A keen interest in the broader industry developments and legislative changes affecting the capture of customer / user data.

Additional Information

Along with your benefits package we also offer a wide range of perks for our colleagues:

Reward, Recognition and Opportunities

Frasers Champion- Our employees are at the heart of our business and we ensure individuals are recognised every single month for their hard work. Frasers Champion is a peer nominated scheme where 8 winners will receive double their pay for a month where they have thought without limits, owned it or been relevant.

Fearless– By October , we want our share price to hit £10. If that happens for 30 or more consecutive trading days, all colleagues across the business will receive a bonus! The top performers in the company will receive unprecedented bonuses, worth from £50, to £1million! Senior leaders across the business nominate these performers twice a year for embodying our core values and delivering exceptional performance*.

*subject to terms and conditions

Frasers Festival– an event like no other! Our Frasers Festival is our celebration for Head Office and Retail Staff across the UK and Europe – hosting a MEGA brand village, guest speakers from the world's biggest brands, evening entertainment, the ultimate Frasers Fearless Fitness Challenge and much more.

CEO Sessions –Once a quarter we offer 20 employees the opportunity to attend our “CEO Sessions” ran by our CEO and leadership team. Employees have the chance to connect, network and submit questions around specific topics such as our Sports or Luxury business.

Retail Reconnect –In order to build the planets most admired and compelling brand ecosystem, all employees must understand our business, product and customers. Each financial year, Head Office employees will gain insights by spending two days in one of our stores or the Warehouse. The goal is to learn how the work you do impacts our teams on the frontline, and to bring ideas back to the office which will improve how we work.

Employee Welfare

Frasers Fit– Our Everlast Gyms Team are on a mission to make our workforce the best, and fittest on the planet! We run free gym classes for employees as well as discounted memberships to our clubs. Frasers Fit is our wellbeing programme which aims to support and improve colleagues Physical, Financial & Mental wellbeing. The app is accessible for every employee and includes training, nutrition and lifestyle advice- all completely free.

Retail Trust– We know that its not just about physical health, mental wellness is equally important which is why all of our employees get free access and support from the Retail Trust charity. This includes a 24 hour wellbeing helpline, wellness hub, counselling and financial/legal support.

What’s next?

Our Recruitment Team will be reviewing applications and all candidates will receive a response, whether you are successful or unsuccessful. Shortlisted applicants may be asked to confirm a few key details before being booked in for a first stage interview with the Recruiter- this will be behaviourally focussed and centred around how you align with our Culture and Values. If successful we anticipate two further interview stages with the Hiring Manager/wider team which will be more technically focussed and could include a presentation/task so we can see your skills in action.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.