At a Glance
- Tasks: Transform messy data into clear narratives and build quick prototypes.
- Company: Dynamic company seeking innovative minds for impactful product analysis.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on user journeys and problem-solving.
- Why this job: Make a real impact by turning data into actionable insights and recommendations.
- 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 Newport employer: Strativ Group
Contact Detail:
Strativ Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analyst in Newport
✨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 achievements.
✨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 Newport
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 to solve real problems, so don’t hold back on the details!
Be Action-Oriented: In your application, demonstrate your proactive nature. Share examples of when you've rolled up your sleeves to tackle challenges, whether it's wireframing in Figma or collaborating with engineers. We appreciate candidates who take initiative!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen to join the StudySmarter team!
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, and be ready to discuss the impact of those insights.
✨Show Off Your Prototyping Skills
Familiarise yourself with SQL and any no-code tools you’ve used. Be prepared to discuss specific projects where you built prototypes or automated workflows. Highlight your ability to quickly adapt and learn new tools, as this will resonate well with the hiring team.
✨Demonstrate Your Product Curiosity
Think about user journeys and how data impacts product decisions. Prepare to discuss how you've identified problems or opportunities in previous roles and what steps you took to address them. This shows that you’re not just data-driven but also product-focused.
✨Communicate Clearly and Confidently
With excellent communication skills being crucial, practice articulating your thoughts clearly. Whether it’s through mock interviews or presenting to friends, ensure you can convey your ideas succinctly, especially when discussing technical concepts to non-technical stakeholders.