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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 40000 - 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
- 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 Southampton employer: Develop
Contact Detail:
Develop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Southampton
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and reports. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and BigQuery skills. Be ready to discuss how you've used these tools to drive business decisions in the past. Practice common data analysis scenarios to demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Analysts like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Data Analyst in Southampton
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 SaaS environments you've worked in. We want to see how your skills align with what we're looking for!
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use numbers and examples to demonstrate how you’ve driven revenue or improved processes in previous roles. This helps us see the impact you can make.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data analysis and how you can contribute to our team. Keep it concise but engaging – we want to feel your enthusiasm!
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 don’t miss out on any important updates. Plus, it’s super easy!
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 times when you've identified trends or inefficiencies and how your recommendations led to improvements. This will demonstrate your ability to think analytically and commercially, which is crucial for this role.
✨Understand the Business Context
Research the company’s current position in the market, especially regarding their subscription model and revenue streams. Being able to discuss how your work as a Data Analyst can directly impact their growth and retention strategies will set you apart from other candidates.
✨Be Ready for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills. Prepare to discuss how you would approach specific challenges related to billing optimisation or subscription performance issues. This will help the interviewers see your thought process and how you tackle real-world problems.