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For Companies At a Glance
- Tasks: Transform complex data into actionable insights and optimise revenue strategies.
- Company: Fast-growing pet-tech business with a global reach and innovative approach.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Exciting opportunity for career advancement in a thriving industry.
- Why this job: Join a dynamic team and make a real impact on pet owners' experiences.
- Qualifications: Experience in data analysis, SQL, and a passion for pets.
The predicted salary is between 35000 - 40000 £ per year.
The Opportunity
Trafalgar Talent is recruiting on behalf of a fast-growing, international pet-tech business transforming how owners stay connected to their pets. Since launching in recent years, the company has scaled rapidly, building a global customer base across multiple markets, with further international expansion planned in 2026. With a strong subscription-led model, they are now looking to bring in a Data Analyst to support the next phase of growth. This is a high-impact role, working closely with senior leadership and contributing to a function responsible for a significant portion of company revenue.
The Role
This is a fully office-based position, ideal for someone who thrives in a collaborative, fast-paced environment. You will work with large, complex datasets to generate insight, improve decision-making, and drive commercial performance. A key focus will be optimising recurring revenue, improving customer retention, and enhancing subscription billing processes.
Key Responsibilities
- Build reports and dashboards to track KPIs and performance
- Turn complex datasets into actionable business insights
- Use SQL and BigQuery for data analysis and data mining
Data Analyst in Hampshire employer: Trafalgar Talent
Contact Detail:
Trafalgar Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Hampshire
✨Tip Number 1
Network like a pro! Reach out to people in the pet-tech industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Analyst role.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and data analysis skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions related to data insights and performance metrics.
✨Tip Number 3
Showcase your skills with a portfolio! Create a few projects that demonstrate your ability to turn complex datasets into actionable insights. We love seeing real-world applications of your skills, so make sure to highlight them when you apply through our website.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We suggest mentioning something specific from your conversation to show your genuine interest in the role and the company.
We think you need these skills to ace Data Analyst in Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience and skills, especially those related to SQL, data analysis, and reporting. We want to see how you can contribute to our growth!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission. Keep it engaging and personal – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention specific projects or experiences where you've turned complex data into actionable insights. We’re looking for someone who can make data work for us!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Trafalgar Talent
✨Know Your Data Tools
Make sure you're familiar with SQL and BigQuery, as these are crucial for the role. Brush up on your skills and be ready to discuss how you've used these tools in past projects or experiences.
✨Understand the Business Model
Since this company operates on a subscription-led model, take some time to understand how that works. Be prepared to discuss how data analysis can impact customer retention and revenue growth in such a model.
✨Prepare Insightful Questions
Think of questions that show your interest in the company's growth and challenges. Ask about their current data strategies or how they measure success in optimising recurring revenue. This shows you're engaged and forward-thinking.
✨Showcase Your Problem-Solving Skills
Be ready to share examples of how you've turned complex datasets into actionable insights. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact on previous projects.