Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Product Analyst

Stepstone UK
South Bank
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (AI & ML)

Senior Data Analyst (Finance)

COS Senior Data Analyst (Finance)

Data Analyst

Senior Data Analyst

Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30 countries, we strive for fair and unbiased hiring. Join our team of 4,000 employees and be part of reshaping the labour market and becoming the worlds leading job-tech platform. Job Description Join our team and youll be responsible for playing a key role helping Stepstone to build best in class jobseeker products. Reporting to the manager of product analytics, you will be working closely with product teams and engineers to make sure we are driving product improvements with data as a core. Working in the Product team, you will be responsible for working closely with product managers and head of products, analysing different data streams and providing conclusions in how we can make our products better, faster. You will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities: Work with Product stakeholders on defining and solving business problems using data. Solutions could take any form or shape, from descriptive dashboards to causal inference and predictive logic.You will partner and consult Product teams on defining, monitoring and investigating KPIs and performance. Define behavioural tracking requirements and measurement plans in order to capture the right user data.Source the necessary data for building dashboards and performance analysis (data pipes building).Visualise and explore performance and KPIs using Adobe Analytics, PowerBI, Python (or other data visualisation tools). Perform deep dive analysis and come up with insights on specific problems (e.g. are there any visible patterns in the behaviour of certain groups of customers? Is there a correlation between a user engagement pattern and a Product feature? What could be driving this correlation and how can this help us achieve our business objectives? etc ). Work with broader Analytics team and Product stakeholders on enhancing user tracking set up.You will build and own a portfolio of analytical assets (e.g. measurement plans, dashboards, anomaly detection systems, statistical / predictive models, data pipes etc).As well as perform ad-hoc analytical tasks (e.g. investigating a particular business / tech issue using data, generate quick summary statistics and analysis in order to support decision making, etc). Identify, develop, and implement new approaches and processes streamlining and optimising existing operations of Product Analytics team.And get involved in strategic projects, where you will lead/manage strategic analytical projects aimed at enhancing our core product. Qualifications Advanced level of SQL, Python, BI Tools (e.g. Looker, PowerBI, Tableau) and Product Analytics Tools (e.g. Adobe Analytics, Amplitude, Mixpanel). Ability to set up behavioural tracking measurement plans (e.g. designing events schemas) is essential Strong analytical skills, including A/B Testing, foundational Machine Learning concepts, Data Visualisation and Storytelling. Good strategic and business thinking, allowing to understand and anticipate the business questions that will influence Product direction. As well as good communication and stakeholder management skills, experience working in cross functional / embedded analytics teams. 5 years of experience in Analytics, Product or Data Science fields. Additional Information Your benefits: Were a community here that cares as much about your life outside work as how you feel when youre with us. Because your job shouldnt take over your life, it should enrich it. Here are some of the benefits we offer: 29 days holiday allowance bank holidays Private medical and dental healthcare Pension contribution up to 10% Training and development opportunities Cycle to work scheme In house Barista Hybrid working model Volunteering days and you can bring your dog to the office Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.