Data Analyst

TRIA; Bradley Stoke; Hybrid; GBP 45,000 - 50,000; Full time

Benefits offered by this job

Bonus

Excellent Benefits

Job summary

TRIA in Bristol is seeking a Data Analyst to join a close-knit, product-focused team. The role focuses on solving data problems, improving data quality, and delivering trusted data for customers using SQL and Python.

This is a hybrid role in Central Bristol (3 days on-site) with a salary of £45,000–£50,000 plus bonus and excellent benefits. You will collaborate with Engineering and Customer Success and support customer integrations and reporting.

Qualifications

• 3+ years' experience as a Data Analyst.
• Strong SQL skills.
• Python experience.
• Experience with data validation or ETL.
• Excellent problem-solving and communication skills.

Responsibilities

• Investigating and resolving data quality issues.
• Writing SQL queries to validate and troubleshoot data.
• Using Python to automate workflows and quality checks.
• Working closely with Engineering and Customer Success.
• Supporting customer integrations and reporting.
• Driving improvements across data processes.

Skills

SQL

Python

Data validation

ETL

Problem solving

Communication

Job description

Data Analyst

Central Bristol | Hybrid (3 Days) | £45,000–£50,000 + Bonus + Excellent Benefits

We're partnering exclusively with an innovative SaaS business to recruit a Data Analyst into a close-knit, product-focused team.

This isn't a reporting-heavy role. It's ideal for someone who enjoys solving data problems, improving data quality, and working with SQL and Python to deliver accurate, trusted data for customers.

What You'll Be Doing

• Investigating and resolving data quality issues
• Writing SQL queries to validate and troubleshoot data
• Using Python to automate workflows and quality checks
• Working closely with Engineering and Customer Success
• Supporting customer integrations and reporting
• Driving improvements across data processes

What We're Looking For

• 3+ years' experience as a Data Analyst
• Strong SQL skills
• Python experience
• Experience with data validation or ETL
• Excellent problem-solving and communication skills

Bonus points for:

Git, APIs, dbt, LookML, Cube or financial data.