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- Tasks: Analyse data to uncover trends and build dashboards for key insights.
- Company: Fast-growing SaaS business with a strong data culture in Bristol.
- Benefits: Competitive salary, hybrid working, annual bonus, private healthcare, and 25 days leave.
- Other info: Great career progression opportunities in a dynamic, collaborative environment.
- Why this job: Make a real impact on product development while enhancing your technical skills.
- Qualifications: Experience as a Data Analyst with strong SQL and BI tool skills.
The predicted salary is between 50000 - 60000 £ per year.
Location: Bristol (Hybrid - 2–3 days per week in office)
I’m currently partnering with a fast-growing SaaS business based in Bristol that is looking to hire a Data Analyst to join their expanding data function. This role offers the chance to work at the heart of a product-driven organisation, where data is central to shaping customer experience, product development and commercial strategy. The company has built a strong data culture and is continuing to invest heavily in its analytics capabilities, making this an ideal opportunity for someone who wants to have real impact while developing their technical skillset.
- Analyse product, customer and commercial data to uncover trends, behaviours and opportunities for growth.
- Build and maintain dashboards and visualisations to track KPIs across product usage, customer engagement and revenue performance.
- Work closely with stakeholders to understand business challenges and translate them into data-driven solutions.
- Support the development and optimisation of data models and pipelines to ensure reliable and scalable reporting.
- Contribute to improving data quality, governance, and analytics best practices across the organisation.
Proven experience working as a Data Analyst, ideally within a SaaS or technology-driven environment.
- Strong SQL skills with experience querying large, complex datasets.
- Hands-on experience with BI tools such as Power BI, Tableau, or Looker.
- Experience using Python for data analysis and manipulation.
- Familiarity with cloud-based data platforms such as AWS, Azure, or GCP.
- Experience working with product analytics, customer journey data or subscription-based metrics (e.g. churn, LTV, CAC).
- Understanding of data warehousing concepts and modern data stack tools.
- Experience collaborating with product or engineering teams in an agile environment.
- Strong communication skills with the ability to translate data into clear business insights.
£50,000 - £60,000 salary (depending on experience) ~ Hybrid working – 2–3 days per week in the Bristol office ~ Annual bonus scheme ~ Private healthcare ~ Pension contribution ~ 25 days annual leave plus bank holidays ~ Learning & development budget and career progression opportunities
Data Analyst - Tableau, Power BI, SQL in Bristol employer: Oscar
Contact Detail:
Oscar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Tableau, Power BI, SQL in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and analyses. Use tools like Tableau or Power BI to make it pop. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to tackle some real-world data problems. Practising common interview questions can help you feel more confident.
✨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 - Tableau, Power BI, SQL in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, BI tools like Tableau and Power BI, and any relevant projects that showcase your skills in data analysis and visualisation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background aligns with our mission at StudySmarter. Don’t forget to mention your experience in SaaS or tech environments!
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of how you've used SQL, Python, and cloud platforms in your previous roles. This will help us understand your hands-on experience and problem-solving abilities.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Oscar
✨Know Your Tools Inside Out
Make sure you’re well-versed in SQL, Power BI, and Tableau. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your technical expertise will show that you're the right fit for the role.
✨Understand the Business Context
Research the company’s products and how they use data to drive decisions. Be prepared to discuss how your analysis can impact customer experience and product development. This shows that you’re not just a data whiz but also understand the bigger picture.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real business problems using data. Think of examples from your past experience where you’ve turned data into actionable insights. Practising these scenarios will help you articulate your thought process clearly during the interview.
✨Showcase Your Communication Skills
As a Data Analyst, translating complex data into clear insights is key. Prepare to explain your findings in simple terms, as if you were talking to someone without a technical background. This will highlight your ability to collaborate with stakeholders effectively.