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- Tasks: Analyse large datasets to drive business decisions and optimise revenue.
- Company: Fast-growing tech business with global expansion plans.
- Benefits: Competitive salary, hands-on experience, and impact on company growth.
- Why this job: Join a dynamic team and influence key business strategies.
- Qualifications: 3+ years as a Data Analyst with strong SQL and BigQuery skills.
- Other info: Exciting opportunity in a fast-paced, scale-up environment.
The predicted salary is between 40500 - 45000 £ per year.
I’m working with a fast-growing tech business based in Portsmouth that are building out their data function, and they’re looking for a Data Analyst to join them. The company are scaling globally (already over 1 million users across US, Canada & Australia, with EU expansion planned), and this role sits right at the heart of the business working closely with the leadership team and impacting a large proportion of their revenue. This is a hands‑on Data Analyst position focused on working with large datasets to drive real business decisions particularly around subscription revenue, retention, and billing optimisation.
Responsibilities:
- Build and maintain reports, dashboards and visualisations to track KPIs
- Analyse large datasets using SQL and BigQuery
- Turn complex data into clear, actionable insights
- Identify trends, gaps and inefficiencies in data and processes
- Investigate billing, renewal and subscription performance issues
- Recommend improvements to optimise revenue and retention
- Collaborate with teams such as Finance and Marketing
- Support improvements in how data is captured and used across the business
What they’re looking for:
- Around 3+ years’ experience in a hands‑on Data Analyst role
- Experience in SaaS/Subscription based environment
- Working with recurring revenue for performance
- Strong experience with SQL and BigQuery (essential)
- Advanced Excel/Google Sheets skills
- Experience working with large datasets
- Ability to think both analytically and commercially
- Comfortable working in a fast‑paced, scale‑up environment
Data Analyst in England employer: Develop
Contact Detail:
Develop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any cool visualisations you've built. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and BigQuery skills. Be ready to tackle real-world problems and showcase how you can turn complex data into actionable insights that drive revenue and retention.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team!
We think you need these skills to ace Data Analyst in England
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 work you've done in SaaS environments. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Be sure to mention your experience with large datasets and driving business decisions.
Showcase Your Analytical Skills: In your application, give examples of how you've turned complex data into actionable insights. We love seeing real-world applications of your skills, especially if they relate to revenue optimisation or subscription performance.
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 from our team!
How to prepare for a job interview at Develop
✨Know Your Data Tools
Make sure you brush up on your SQL and BigQuery skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse large datasets and drive business decisions. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Analytical Mindset
Prepare examples of how you've turned complex data into actionable insights in previous roles. Think about trends you've identified or inefficiencies you've resolved. This will demonstrate your ability to think analytically and commercially, which is crucial for this position.
✨Understand the Business Impact
Research the company’s subscription model and revenue streams. Be ready to discuss how your work as a Data Analyst can directly impact their revenue and retention strategies. Showing that you understand the bigger picture will set you apart from other candidates.
✨Collaborate and Communicate
Since this role involves working closely with teams like Finance and Marketing, prepare to talk about your experience collaborating across departments. Highlight any instances where your communication skills helped bridge gaps or improve processes, as this is key in a fast-paced environment.