Salary: £40,000 – 50,000 per year
Requirements
- 3+ years experience as a Data Analyst in a SaaS, technology or enterprise environment
- Strong SQL skills, with Python for automation and data analysis
- Experience in data validation, QA and working with financial data
- Excellent analytical skills and attention to detail
- Confident working with both technical teams and customers
- Experience with SaaS or enterprise data environments would be an advantage
- Experience with data integration or ETL processes would be an advantage
- Experience with Git or other version control tools would be an advantage
- Familiarity with semantic layer tools such as Cube or LookM would be an advantage
Responsibilities
- Own data quality across customer integrations, ensuring operational and financial data is accurate and consistent
- Use SQL and Python to investigate data issues, automate quality checks, and improve validation processes
- Work with Engineering to resolve data discrepancies and support platform integrations
- Create client reports, support customer onboarding, and help resolve data-related queries
- Document QA processes and drive best practice across the platform
Technologies
- ETL
- Git
- Support
- Python
- SQL
We are a global, data-driven organisation with a startup-style team based in Central Bristol, offering a hybrid working model, a salary of £40,000-£50,000 plus bonus and excellent benefits. We operate in a fast-moving, well-funded environment with plenty of autonomy and a highly collaborative culture focused on building innovative data products. This role offers genuine ownership, exposure to complex technical challenges, and the opportunity to make a visible impact as the platform continues to grow.
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