Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to drive insights and optimise performance in a fast-paced pet-tech environment.
- Company: Join a rapidly growing international pet-tech business transforming pet ownership.
- Benefits: Competitive salary, fantastic office perks, and opportunities for real impact.
- Other info: Collaborative office environment with gym facilities and career growth opportunities.
- Why this job: Be part of a dynamic team making a difference in a scaling global business.
- Qualifications: 3+ years as a Data Analyst with strong SQL and analytical skills.
The predicted salary is between 35000 - 40000 £ per year.
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.
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
- Identify trends, issues, and opportunities to optimise performance
- Collaborate closely with cross-functional teams including Finance and Marketing
- Support strategic decision-making through data-driven recommendations
- 3+ years experience in a Data Analyst or similar role
- Strong SQL and BigQuery experience
- Advanced Excel / Google Sheets skills
- Comfortable working with large datasets
- Analytical, detail-oriented, and naturally curious
- Able to think both strategically and creatively in a fast-paced environment
- Experience in a SaaS or subscription-based business
- Exposure to financial or commercial data analysis
- Experience with Looker
- Python skills (particularly for reporting or automation)
- Competitive salary and benefits package
- Fantastic office environment designed for collaboration and productivity
- On-site perks including gym facilities and additional workplace benefits
- Opportunity to make a real impact in a scaling, global business
If this sounds like you, feel free to apply or reach out for a confidential discussion.
Data Analyst in Fareham employer: Trafalgar Talent Ltd
Contact Detail:
Trafalgar Talent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Fareham
✨Tip Number 1
Network like a pro! Reach out to people in the pet-tech industry or those who work at the company you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data analysis projects, especially those involving SQL and BigQuery. When you get the chance to chat with potential employers, share how you've turned complex datasets into actionable insights.
✨Tip Number 3
Be ready for the interview! Brush up on common data analyst interview questions and think about how your experience aligns with their needs. Practise explaining your thought process when tackling data challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the team and making an impact in this exciting pet-tech space.
We think you need these skills to ace Data Analyst in Fareham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, BigQuery, and any relevant projects that showcase your analytical skills. We want to see how you can turn complex datasets into actionable insights!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our mission at StudySmarter. Don’t forget to mention your experience in subscription-based businesses if you have it!
Showcase Your Technical Skills: Since we’re looking for someone with strong SQL and Excel skills, make sure to include specific examples of how you've used these tools in your previous roles. We love seeing real-world applications of your technical know-how!
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Trafalgar Talent Ltd
✨Know Your Data Tools
Make sure you're well-versed in SQL and BigQuery, as these are crucial for the role. Brush up on your advanced Excel or Google Sheets skills too, as you'll likely be asked to demonstrate your proficiency with these tools during the interview.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've turned complex datasets into actionable insights. Think about how your analytical mindset has contributed to previous projects, especially in a fast-paced environment.
✨Understand the Business Model
Familiarise yourself with subscription-based business models, particularly in the pet-tech industry. Be ready to discuss how you can optimise recurring revenue and improve customer retention based on your past experiences.
✨Collaborate and Communicate
Since this role involves working closely with cross-functional teams, practice articulating how you've successfully collaborated with others in the past. Highlight your ability to support strategic decision-making through data-driven recommendations.