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- Tasks: Own the product roadmap for our PayAnalytics platform and simplify complex data for users.
- Company: Join beqom, a high-growth B2B SaaS platform making pay fair and transparent.
- Benefits: Dynamic work environment, career growth opportunities, and a chance to drive meaningful change.
- Why this job: Shape the future of pay equity and make a real impact in the workplace.
- Qualifications: 2-3 years in Product Management or Business Analysis with a grasp of statistics.
- Other info: Collaborate with a diverse team and unleash your ambition in a supportive culture.
The predicted salary is between 36000 - 60000 £ per year.
Join beqom - where tech meets impact. beqom is a high-growth B2B SaaS platform that helps the world's most respected companies make pay fair, transparent, and motivating. Founded in Switzerland and serving enterprises worldwide, our all-in-one solution is built on beqom Pay Intelligence - empowering HR and business leaders to navigate the complexities of compensation, ensure compliance, and unlock the full potential of their people.
The opportunity The EU Pay Transparency Directive lands in 2026. Every company with 100+ employees will need to report on pay equity — and most aren't ready. That's where we come in. beqom's PayAnalytics platform is the tool companies use to understand, analyse, and close their pay gaps. We need a Product Owner to take ownership of its roadmap and make it even more powerful, intuitive, and impactful. This isn't your typical PO role. You'll need to be comfortable with statistics and regression modelling, and have the product instinct to turn complex analytical outputs into something a Head of Reward can use without a PhD. It's a rare combination - and that's exactly what makes this role exciting.
What you'll be doing:
- Own the product roadmap for PayAnalytics, our pay equity analytics platform.
- Turn complex statistical outputs (regression models, significance tests, confidence intervals) into intuitive experiences that non-technical users actually understand.
- Work hands‑on with data scientists, engineers, and designers to ship features that move the needle.
- Shape the product direction alongside the Product Manager and clients — especially as the regulatory landscape evolves fast.
What you bring:
- 2-3 years in a Product Management, Product Owner or Business Analyst role, ideally in a technically complex product where domain understanding mattered.
- Comfort with statistics and statistical modelling. You don't need to be a statistician, but you should genuinely understand concepts like multivariate regression, significance testing, and how model outputs translate into business decisions - not just consume dashboards, but understand what's behind them.
- Strong communication skills - you can explain complex ideas simply, whether to a data scientist or a CHRO.
- Client-facing experience and the confidence to manage stakeholder expectations.
Bonus points:
- Experience in HR Tech - especially compensation, analytics, or pay equity.
- A quantitative degree or background (statistics, economics, computer science, engineering).
- Deep understanding of regression modelling: assumptions, diagnostics, coefficient interpretation.
- Consulting or advisory background translating analytical work into client deliverables.
Why join us?
- Your career, your design. Unleash your ambition in our dynamic, autonomous environment.
- Drive meaningful change. Build a fairer future for every employee by joining a market leader that is improving the world of work.
- Belong to something bigger. Collaborate with a passionate, diverse and talented team around the globe.
Pay Analytics Product Owner in London employer: beqom
Contact Detail:
beqom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pay Analytics Product Owner in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to the role. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your skills through projects or case studies. If you’ve worked on anything relevant, make sure to discuss it during interviews to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows your genuine interest in joining our team.
We think you need these skills to ace Pay Analytics Product Owner in London
Some tips for your application 🫡
Show Your Passion for Pay Equity: When writing your application, let your enthusiasm for pay equity shine through. We want to see how much you care about making compensation fair and transparent, so share any relevant experiences or projects that highlight this passion.
Keep It Clear and Concise: We appreciate straightforward communication, especially when it comes to complex topics. Make sure your application is easy to read and gets straight to the point. Avoid jargon unless it's necessary, and always explain any technical terms you use.
Highlight Your Technical Skills: Since this role involves statistics and regression modelling, don’t shy away from showcasing your technical skills. Mention any relevant tools or methodologies you've used, and explain how they’ve helped you in previous roles. We love seeing how you can turn data into actionable insights!
Tailor Your Application: Make sure to customise your application for this specific role. Refer to the job description and align your experiences with what we’re looking for. This shows us that you’ve done your homework and are genuinely interested in joining our team. And remember, apply through our website!
How to prepare for a job interview at beqom
✨Know Your Numbers
Since this role involves statistics and regression modelling, brush up on your knowledge of these concepts. Be prepared to discuss how you’ve used statistical analysis in past roles and how it influenced business decisions. This will show that you can translate complex data into actionable insights.
✨Simplify the Complex
Practice explaining intricate statistical concepts in simple terms. You might be asked to demonstrate how you would communicate complex ideas to non-technical stakeholders. Use examples from your experience where you successfully simplified a complex topic for a client or team member.
✨Showcase Your Product Instinct
Be ready to discuss your approach to product management and how you prioritise features on a roadmap. Think about times when you had to balance technical requirements with user needs, and be prepared to share specific examples that highlight your product instinct.
✨Engage with the Regulatory Landscape
Familiarise yourself with the EU Pay Transparency Directive and its implications for businesses. Being knowledgeable about current regulations will demonstrate your proactive approach and understanding of the industry, which is crucial for this role.