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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 role with a focus on innovation.
- Benefits: Enjoy flexible working, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and enjoy a fast-paced, supportive environment.
- Why this job: Make an impact by turning data into stories that drive decisions and strategies.
- Qualifications: 2+ years in a data-driven role with strong skills in SQL and data visualisation.
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 Maidstone employer: Strativ Group
Contact Detail:
Strativ Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analyst in Maidstone
✨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, making you stand out.
✨Tip Number 3
Prepare for interviews by practising common questions related to product analysis and data insights. We recommend using the STAR method to structure your answers – it’s all about showing how you’ve tackled challenges.
✨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 seeing candidates who are proactive!
We think you need these skills to ace Product Analyst in Maidstone
Some tips for your application 🫡
Craft Your Story: When you’re writing your application, think of it as your chance to tell a story. Highlight your data storytelling skills and how you've turned messy data into clear insights in the past. We want to see how you can narrate your experiences!
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 to create actionable insights, so don’t hold back!
Be Action-Oriented: In your application, demonstrate your proactive nature. Share examples of how you’ve rolled up your sleeves to tackle challenges, whether it’s wireframing or writing clear requirements. We appreciate candidates who take initiative!
Apply Through Our Website: Finally, 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. We can’t wait to hear from you!
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, and be ready to discuss the impact of those insights.
✨Show Off Your Prototyping Skills
Brush up on your SQL and any no-code tools you’ve used. Be prepared to talk about specific projects where you built prototypes or automated workflows. If possible, bring along a portfolio or examples that showcase your technical skills in action.
✨Demonstrate Your Product Curiosity
Think about user journeys and how you've identified root causes in previous roles. During the interview, share instances where you dug deeper into a problem and how that led to innovative solutions. This will show your potential employer that you’re not just surface-level focused.
✨Communicate Clearly and Confidently
Since excellent communication is key, practice articulating your thoughts clearly. Whether it’s discussing your experience with data visualisation tools like Tableau or explaining a complex concept, ensure you can convey your ideas succinctly and effectively.