At a Glance
- Tasks: Own data quality, automate processes, and create insightful reports.
- Company: Dynamic startup-style team within a global data-driven organisation.
- Benefits: Competitive salary, bonus, excellent benefits, and hybrid work model.
- Other info: Collaborative environment with opportunities for growth and tackling complex challenges.
- Why this job: Make a real impact on product quality and customer success.
- Qualifications: 3+ years as a Data Analyst with strong SQL and Python skills.
The predicted salary is between 40000 - 50000 £ per year.
We’re excited to be recruiting exclusively for a Data Analyst to join a startup-style team within a global, data-driven organisation. Think fast-moving, well-funded, plenty of autonomy, and a collaborative culture that’s committed to building innovative data products.
This is an excellent opportunity for someone who enjoys improving data quality, solving complex data challenges, automating processes, and working closely with both technical teams and customers to deliver accurate, trusted data.
A Typical Day-to-Day
Working across Engineering, Delivery and Customer Success, you’ll take ownership of data quality across customer integrations, ensuring operational and financial data is accurate, consistent and reliable.
Responsibilities include:
- Owning data quality across customer integrations, ensuring operational and financial data is accurate and consistent
- Using SQL and Python to investigate data issues, automate quality checks, and improve validation processes
- Working with Engineering to resolve data discrepancies and support platform integrations
- Creating client reports, supporting customer onboarding, and helping resolve data-related queries
- Documenting QA processes and driving best practice across the platform
We’re Looking For
- 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
Nice to Have
- Experience with any of the following would be an advantage:
- SaaS or enterprise data environments
- Data integration or ETL processes
- Git or other version control tools
- Familiarity with semantic layer tools such as Cube or LookM
Why Apply?
You’ll be joining a highly collaborative team where your work directly influences product quality and customer success. This is a role where you’ll have genuine ownership, exposure to complex technical challenges, and the opportunity to make a visible impact as the platform continues to grow.
Data AnalystData Analyst employer: Tria Recruitment
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