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- Tasks: Join the Product Data team to shape product strategy and user insights.
- Company: An innovative AI-first creative tech platform redefining digital production.
- Benefits: Enjoy a collaborative environment with ownership and visibility on impactful projects.
- Why this job: Work at the forefront of generative AI, influencing the future of creativity.
- Qualifications: 5+ years in product or data analytics, strong SQL skills, and excellent communication.
- Other info: Bonus for B2B experience or familiarity with generative AI tools.
The predicted salary is between 36000 - 60000 £ per year.
What’s the opportunity? We’re hiring for one of the most exciting AI-first creative tech platforms in the space right now. They’re building tools that give creators and brands full control of their visual storytelling, powered by some of the most advanced generative models in the industry. With a suite of top-ranked apps, an in-house AI research team, and a newly open-sourced visual generation model, this team is redefining how content gets made and distributed. From creators and artists to marketers and media companies, their tools are already shaping the future of digital production.
What’s the role? You’ll be joining the Product Data team, sitting at the centre of product strategy, user insights, and business decisions. This role isn’t about pulling data for someone else’s questions. You’ll help define the questions in the first place. You’ll work closely with product, design, engineering, AI, and business teams to make sure every decision is grounded in user behaviour and real-world performance. You’ll go deep into the data, but also zoom out to tell the story, drive the strategy, and influence the roadmap.
If you're excited by generative AI, curious about user behaviour, and passionate about turning numbers into action, this is one worth exploring.
What will you be doing?
- Build and own the product metrics framework, defining core PLG metrics and success criteria across the full user journey
- Translate user behaviour into insight, and insight into product decisions
- Collaborate with PMs, engineers, and business leads to uncover opportunities and shape roadmap priorities
- Lead experimentation strategy, setting up A/B testing foundations and measuring impact
- Combine quantitative data and qualitative research to validate ideas and identify opportunities
- Partner with data engineers to ensure accurate tracking and scalable analytics
- Turn complex data into clear, compelling narratives that influence product direction
What we’re looking for:
- 5+ years in product or data analytics, ideally in a fast-paced product-led company
- Strong SQL skills and experience with statistical analysis
- Experience defining and tracking PLG metrics across acquisition, engagement, and retention
- Comfortable working with cross-functional teams including product, design, marketing, AI, and execs
- Ability to connect user behaviour with business goals and product opportunities
- A strong communicator who can simplify complexity and tell a compelling story with data
- Bonus if you have B2B or enterprise analytics experience
- Bonus if you’re familiar with generative AI tools or concepts
Why this role? You’ll join a team that blends cutting-edge tech, real-world user impact, and serious creative ambition. It’s fast, collaborative, and full of opportunity to shape something big. You’ll have ownership, visibility, and the chance to work on meaningful challenges that influence the future of AI-powered creativity.
Product Analyst employer: Recruited
Contact Detail:
Recruited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in generative AI and how they impact product analytics. Being able to discuss current developments and their implications during your conversations will show your genuine interest and expertise in the field.
✨Tip Number 2
Prepare to demonstrate your SQL skills through practical examples. You might be asked to solve a data-related problem on the spot, so having a few scenarios ready where you've used SQL to derive insights can really set you apart.
✨Tip Number 3
Think about how you can connect user behaviour with business goals. Be ready to share specific instances from your past experience where your analysis directly influenced product decisions or strategy, as this aligns perfectly with what they're looking for.
✨Tip Number 4
Showcase your storytelling ability with data. Prepare a few examples where you turned complex data into clear narratives that drove action. This will highlight your communication skills and your ability to influence stakeholders effectively.
We think you need these skills to ace Product Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product or data analytics, especially in fast-paced environments. Emphasise your SQL skills and any experience with PLG metrics, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for generative AI and user behaviour. Share specific examples of how you've turned data insights into actionable product decisions in previous roles.
Showcase Your Communication Skills: Since the role requires simplifying complex data into compelling narratives, consider including a brief example in your application that demonstrates your ability to communicate insights effectively.
Highlight Collaboration Experience: Mention any past experiences where you worked closely with cross-functional teams. This could include product managers, engineers, or marketing teams, showcasing your ability to connect user behaviour with business goals.
How to prepare for a job interview at Recruited
✨Understand the Product Metrics Framework
Familiarise yourself with product-led growth (PLG) metrics and be ready to discuss how you would define and track these metrics. Show your understanding of user journeys and how data can inform product decisions.
✨Showcase Your SQL and Analytical Skills
Be prepared to demonstrate your SQL skills and experience with statistical analysis. You might be asked to solve a problem or analyse a dataset during the interview, so brush up on your technical abilities.
✨Communicate Complex Ideas Simply
Practice explaining complex data insights in a straightforward manner. The ability to tell a compelling story with data is crucial for this role, so think of examples where you've successfully done this in the past.
✨Collaborate and Influence
Highlight your experience working with cross-functional teams. Be ready to discuss how you've collaborated with product managers, engineers, and other stakeholders to drive product strategy and influence roadmaps.
