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For Companies At a Glance
- Tasks: Lead data-driven decisions and explore user behaviour to shape product strategies.
- Company: Join Pion, an award-winning tech company connecting retailers with the youth market.
- Benefits: Enjoy competitive salary, 30 days leave, remote work, and wellness perks.
- Why this job: Make a real impact in a dynamic environment that values innovation and collaboration.
- Qualifications: Advanced SQL skills and experience with data visualisation tools required.
- Other info: Flexible hours and a focus on personal development make Pion a great place to thrive.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Pion
Pion produces award‑winning technology for the biggest retailers on the planet, connecting them with the youth market. We’re constantly innovating to offer new solutions that satisfy our consumers, drive ROI for our clients, and create an empowering workplace for our employees.
Life at Pion
At Pion, we’re driven by big ideas and bold thinkers. Our purpose is clear: We make it possible to reward those who shape our world, from Students to Healthcare workers and more. That mission demands diverse perspectives and a culture where everyone belongs. Our people power everything we do from innovation to collaboration. We’re here to break down barriers and build a space where everyone can grow, learn, and thrive—because affordability starts with empowered people.
Research shows that while men apply to jobs when they meet 60% of the requirements, women and those in underrepresented groups tend to only apply when they tick every box. We don’t think you should have to tick every box. We value your uniqueness, and it goes without saying that all applications are welcome, even if you don’t think you fit the criteria. Need any adjustments to support you with your application? Just drop us an email at talent@wearepion.com.
About the role
As a result of our incredible success and growth, we are looking for a Senior Product Analyst to join us.
Responsibilities
- Lead the strategic analytical agenda for the Squad, shaping OKRs, prioritising high‑value work, and challenging assumptions to ensure data‑driven decision making.
- Proactively explore user behaviour and product performance to inform ideation, discovery, and roadmap direction.
- Translate complex behaviour and business questions into testable hypotheses and guide experimentation design, execution, and interpretation.
- Deliver clear, actionable insights through robust deep‑dives, ad‑hoc analysis, and ongoing product health reporting.
- Ensure data integrity by advising on tracking requirements, maintaining monitoring and alerting, and enabling early detection of behavioural or feature shifts.
- Champion a strong data culture by educating Squad members, advocating best‑practice analytics, and sharing insights across the organisation.
A little bit about you
We’d really like to hear from you if you have:
- Advanced SQL - You must be able to write complex, optimized queries (e.g., using window functions, CTEs, complex joins) to extract and manipulate data from large, complex datasets (e.g., Snowflake, BigQuery, Redshift).
- Data Visualization & BI - Mastery of a modern data visualization tool (e.g., Count.io, Looker, Lightdash, or Metabase). You have a proven track record of building insightful, automated, and user‑friendly dashboards for product and business stakeholders.
- Product Analytics Platforms & Instrumentation - Familiarity with event‑based product analytics tools (e.g., Amplitude, Mixpanel, Heap). A strong understanding of front‑end and mobile analytics tracking design and instrumentation is highly desired, particularly with tools like Snowplow.
- Experimentation & A/B Testing - Deep knowledge of experimental design. You will partner with Product Managers to advise on proper A/B/n test setup, define key primary and secondary metrics, and conduct the in‑depth statistical analysis of results. Must have a strong understanding of statistical significance, confidence intervals, and hypothesis testing.
- Product Analytics Frameworks - Expertise in applying analytical frameworks to understand user behaviour, including funnel analysis, cohort analysis, user segmentation, and retention/churn analysis.
Data Team Collaboration
Proven experience working alongside Data Engineers and Analytics Engineers. Must understand the differences in their roles and how to partner with them effectively to define data requirements, influence pipeline design, and productionise analyses.
Life at Pion
Let’s take a look at a few things that make Pion an amazing place to work:
- Competitive salary.
- 30 days annual leave, plus bank holidays.
- Accredited 'Great Place To Work' company in three categories.
- Commitment to personal development and career growth, coaching workshops and progression plans.
- Remote‑first working environment.
- Flexible working hours (start between 8‑10am and finish between 4:30‑6:30pm).
- Focus on welfare, including a monthly wellness allowance, gym memberships, access to mental health first aiders, a health cash plan and more.
- Access to incredible partnership discounts for the biggest brands in the world.
- £200 work from home set up allowance to put towards your at‑home working space.
Due to the high volume of applicants, we can only respond to shortlisted applicants. By submitting your application, you agree that Pion may collect your personal data for recruiting, global organisation planning, and related purposes. Our Applicant Privacy Notice explains what personal information and where we may process, our purposes for processing, and the rights you can exercise over Pion’s use of your personal information.
Senior Product Analyst in City of London employer: Wearepion
Contact Detail:
Wearepion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Pion on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Pion's products and values. Show us how your skills align with our mission and how you can contribute to our innovative culture.
✨Tip Number 3
Practice your data storytelling! Be ready to explain complex analyses in simple terms. We love candidates who can make data relatable and actionable for everyone.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re all about making the process as smooth as possible for you.
We think you need these skills to ace Senior Product Analyst in City of London
Some tips for your application 🫡
Be Yourself: At Pion, we value uniqueness! Don’t stress if you don’t tick every box in the job description. Just be yourself and let your personality shine through in your application.
Show Your Passion: We love big ideas and bold thinkers! Make sure to express your enthusiasm for the role and how your skills can contribute to our mission. A little passion goes a long way!
Tailor Your Application: Take the time to customise your CV and cover letter for the Senior Product Analyst role. Highlight relevant experiences and skills that align with what we’re looking for. It shows us you’re serious about joining our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Wearepion
✨Know Your Data Tools
Make sure you’re well-versed in the data visualisation tools mentioned in the job description, like Count.io or Looker. Be ready to discuss how you've used these tools to create insightful dashboards that drive decision-making.
✨Showcase Your SQL Skills
Brush up on your SQL skills, especially complex queries. Prepare to demonstrate your ability to extract and manipulate data from large datasets, as this will be crucial for the role. Maybe even bring a few examples of your work!
✨Understand Experimentation
Familiarise yourself with A/B testing and experimental design. Be prepared to explain how you’ve set up tests in the past, what metrics you focused on, and how you interpreted the results. This shows you can contribute to data-driven decisions.
✨Emphasise Collaboration
Highlight your experience working with Data Engineers and Analytics Engineers. Discuss how you’ve partnered with them to define data requirements and influence pipeline design. This will show you understand the importance of teamwork in achieving analytical goals.
