Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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: Make a real impact on pay equity while working with a passionate global team.
- Qualifications: 2-3 years in Product Management or Business Analysis with a grasp of statistics.
- Other info: Collaborate with diverse talents and unleash your ambition in an autonomous setting.
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 employer: beqom
Contact Detail:
beqom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pay Analytics Product Owner
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product ownership and analytics. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects or case studies. If you’ve worked on relevant analytics or product management projects, be ready to discuss them in detail. This will help you stand out as a candidate who can turn complex data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at beqom.
We think you need these skills to ace Pay Analytics Product Owner
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 clarity! Make sure your application is easy to read and straight to the point. Use simple language to explain complex ideas, especially when discussing your experience with statistics and product management.
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to our job description. Highlight your relevant skills and experiences that align with the role of Product Owner for PayAnalytics.
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 the role. Plus, it shows you’re serious about joining our team!
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 previous roles and how it can impact business decisions. This will show that you’re not just familiar with the terms but can apply them effectively.
✨Simplify the Complex
Practice explaining complex statistical outputs in simple terms. You might be asked to demonstrate how you would communicate intricate ideas to non-technical stakeholders. Think about examples from your past where you successfully translated technical jargon into understandable language.
✨Showcase Your Product Instinct
Be ready to discuss your approach to product management and how you prioritise features on a roadmap. Think about specific instances where you’ve shaped product direction based on user feedback or market trends, especially in technically complex environments.
✨Engage with the Team
This role requires collaboration with data scientists, engineers, and designers. Prepare to talk about your experience working in cross-functional teams and how you manage stakeholder expectations. Highlight any client-facing experiences that demonstrate your communication skills and ability to build relationships.