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- Tasks: Transform messy data into clear narratives and actionable insights for clients and teams.
- Company: Join a dynamic company that values innovation and collaboration.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in a fast-paced environment with excellent career advancement opportunities.
- 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 Wakefield employer: Strativ Group
Contact Detail:
Strativ Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analyst in Wakefield
✨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. Use the STAR method to structure your answers and highlight your experience effectively.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us, and it’s the best way to get noticed.
We think you need these skills to ace Product Analyst in Wakefield
Some tips for your application 🫡
Craft Your Story: When you write your application, think of it as a story. We want to see how your experiences and skills connect to the role of Product Analyst. Highlight your data storytelling abilities and make sure to showcase how you've turned messy data into clear insights in the past.
Be Specific with Skills: Don’t just list your skills; show us how you’ve used them! If you’re comfortable with SQL or data visualisation tools like Tableau, give us examples of projects where you’ve applied these skills. This helps us see your technical side in action.
Show Your Curiosity: We love candidates who are product-curious! In your application, mention any instances where you’ve dug deep into user journeys or identified root causes of problems. This will demonstrate your proactive nature and how you think beyond the surface level.
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed! It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, 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 work where you transformed messy data into actionable insights. This will show your ability to communicate effectively and make an impact.
✨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 have experience with rapid prototyping or AI-assisted coding, highlight that too—it’ll demonstrate your technical versatility.
✨Be Action-Oriented
Prepare to discuss times when you took initiative, whether it was wireframing a tool in Figma or drafting requirements for a project. This shows you’re not just a thinker but also someone who gets things done. Have a few examples ready that illustrate your proactive nature.
✨Dig Deep into User Journeys
Since the role requires a product-curious mindset, think about how you approach problem-solving. Be prepared to discuss how you identify root causes and opportunities within user journeys. This will demonstrate your analytical thinking and understanding of product dynamics.