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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 work, annual bonus, private healthcare, and 25 days leave.
- Other info: Great career progression opportunities and 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 Python skills.
The predicted salary is between 50000 - 60000 £ per year.
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 SQL Python Tableau in Bristol employer: Oscar
Contact Detail:
Oscar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst SQL Python Tableau 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 you're eyeing. 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 analysis projects, dashboards, and any cool visualisations you've built. This is your chance to demonstrate your SQL, Python, and Tableau prowess in a way that words alone can't.
✨Tip Number 3
Prepare for the interview by brushing up on common data-related questions and scenarios. Think about how you can translate your past experiences into solutions for the challenges the company faces. We want to see you shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Analyst SQL Python Tableau in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your SQL, Python, and Tableau skills, and showcase any relevant experience in SaaS or tech environments. We want to see how your background aligns 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 and how you can contribute to our team. Be sure to mention specific projects or experiences that demonstrate your analytical skills and ability to work with stakeholders.
Showcase Your Projects: If you've worked on any cool data projects, don’t forget to mention them! Whether it's building dashboards or analysing customer data, we love seeing real examples of your work. Include links to your portfolio or GitHub if you have them!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Oscar
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Tableau skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data and create visualisations. This will show that you not only understand the technical side but can also apply it effectively.
✨Understand the Business Context
Research the company’s products and how they use data to drive decisions. Familiarise yourself with their customer journey and any relevant metrics like churn or LTV. This knowledge will help you demonstrate how you can contribute to their goals and make a real impact.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical business challenges using data. Practice articulating your thought process clearly, showing how you would approach analysing data and presenting insights. This will highlight your problem-solving skills and ability to translate data into actionable strategies.
✨Showcase Your Communication Skills
Since strong communication is key in this role, prepare to explain complex data concepts in simple terms. Think of examples where you've successfully communicated insights to stakeholders. This will demonstrate your ability to bridge the gap between data and business needs.