Data Analyst
Why This Role Stands Out
Leverage your analytical expertise in a hybrid role with Tria, a dynamic tech startup within a global organization, where you'll enjoy significant autonomy and a collaborative culture while earning a competitive salary of £40-50k plus bonus and benefits. This is a fantastic opportunity for a mid-senior Data Analyst with strong SQL and Python skills, who thrives on solving complex data challenges and improving data quality, to make a real impact. You'll find immense potential for growth and skill development as you work closely with engineering and customer success teams to deliver trusted data products.
Quick Overview
Job Description
Hybrid Central Bristol
40,000- 50,000 + Bonus + Excellent Benefits
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
Skills
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