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Full time
Technology

Data Analyst

TriaBristol, Gloucestershire🇬🇧United KingdomPosted 29 Jun 2026

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

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

Data Analyst

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

SQL
ETL
Git
Python

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