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- Tasks: Transform messy data into clear narratives and actionable insights for clients and teams.
- Company: Join a dynamic team in a hybrid work environment focused on innovation.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on user journeys and problem-solving.
- Why this job: Make an impact by turning data into stories that drive decisions and product development.
- Qualifications: 2+ years in a data-driven role with strong skills in SQL and data visualisation tools.
The predicted salary is between 35000 - 45000 £ per year.
We are looking for a Product / Data Analyst with excellent storytelling and data analytics skills to take the next step in their career. This is a hybrid role with 2 days per week onsite.
Key Responsibilities:
- Data Storytelling (The Priority): Take ownership of reporting and insights. You’ll turn messy data into clear and actionable narratives that describe exactly what is happening and what should be done about it, both internally and client facing.
- Rapid Prototyping: Use SQL, AI-assisted coding, or No-Code tools to build quick prototypes and automate manual workflows, especially around the processing or utilisation of data.
- Product Discovery: Support the Director of Product in analysing data to identify the problem (or opportunity), then take raw ideas and turn them into prototypes or detailed plans.
Who you are:
- A Natural Narrator: You find the 'so what' in a spreadsheet instantly. You’d rather present one clear recommendation than a 20-page dashboard.
- Technical Enough: You are comfortable with SQL and data visualisation (Tableau/Looker). You aren't necessarily a developer, but you get the job done and pick up the skills you need as you go.
- Action-Oriented: You are happy to roll up your sleeves, whether that’s wireframing a new internal tool in Figma or writing a clear requirements ticket for a backend engineer.
- Product-Curious: You think in terms of user journeys and systems. You don't just see a problem at surface level, you dig into the true root cause.
Experience:
- 2+ years in a data-driven role (Product Analysis, Business Analyst, Growth, or Strategy Consulting).
- Strong skills and experience working with data (within platforms, sheets, and databases).
- Strong skills and experience working with data visualisations (Tableau, Looker, or similar).
- Strong autonomy, and the ability to juggle multiple priorities with a proactive nature.
- Strong organisation skills and attention to detail.
- Proven ability in building relationships and collaborating with stakeholders across large organisations.
- Excellent written and verbal communication skills.
- Experience with SQL and working with databases - Great to have.
- Experience with Python - Great to have.
- Experience working with APIs - Great to have.
Product Analyst in Cambridge employer: Strativ Group
Contact Detail:
Strativ Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analyst in Cambridge
✨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
Show off your skills! Create a portfolio showcasing your data storytelling and visualisation projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to product analysis. We recommend using the STAR method to structure your answers and highlight your experience.
✨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, we love hearing from passionate candidates like you!
We think you need these skills to ace Product Analyst in Cambridge
Some tips for your application 🫡
Craft Your Story: When you write your application, think of it as telling a story. Highlight your journey in data analysis and how you've turned messy data into clear insights. We want to see how you can narrate your experiences in a way that resonates with us!
Show Off Your Skills: Make sure to showcase your technical skills, especially with SQL and data visualisation tools like Tableau or Looker. We love seeing how you've used these tools in real-life scenarios, so don’t hold back on the details!
Be Action-Oriented: We’re looking for someone who’s proactive and ready to roll up their sleeves. In your application, mention specific projects where you took initiative, whether it was wireframing a tool or automating workflows. Show us you’re ready to dive in!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who follow instructions!
How to prepare for a job interview at Strativ Group
✨Master Your Data Storytelling
Since data storytelling is a top priority for this role, practice how you can turn complex data into simple narratives. Prepare examples from your past experiences where you transformed messy data into actionable insights. This will show your potential employer that you can communicate effectively and make data relatable.
✨Show Off Your Technical Skills
Brush up on your SQL and data visualisation tools like Tableau or Looker. Be ready to discuss specific projects where you used these skills. If you’ve built prototypes or automated workflows, share those experiences too. It’s all about demonstrating that you’re technically savvy and can get the job done!
✨Be Action-Oriented
Prepare to talk about times when you took initiative, whether it was wireframing a tool in Figma or drafting requirements for a project. Highlight your proactive nature and ability to juggle multiple priorities. This will resonate well with the interviewers looking for someone who rolls up their sleeves and gets things done.
✨Dig Deep into User Journeys
Since being product-curious is key, think about how you approach problem-solving. Prepare to discuss how you identify root causes rather than just surface-level issues. Share examples of how you’ve improved user journeys or systems in previous roles, showcasing your analytical mindset and curiosity.