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# Senior Data Analyst

- **Company:** TRIA
- **Location:** Bradley Stoke, UK
- **Experience:** Expert
- **Salary:** £60,000.0 - £75,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Software as a Service, Data Integration, Extract Transform Load (ETL), Data Intelligence, Python (Programming Language), Standard Sql, SQL Databases, Systems Integration, Technical Data Management Systems, Git
- **Published:** September 15, 2026
- **Apply:** https://www.collegerecruiter.com/job/2879240764-senior-data-analyst

## About the Role

* 4+ years' experience in Data Analysis, Data Consulting, Analytics or a similar role
 * Strong SQL and Python skills
 * Experience with data quality, validation, ETL/ELT or integrations
 * Exceptional communication and stakeholder management skills
 * Comfortable explaining complex data concepts to both technical and non-technical audiences
 * A consultative, solutions-focused approach with the confidence to challenge and advise stakeholders
 * Strong ownership and problem-solving skills
 * A STEM degree/ similar academic background.

Bonus points for: Git, APIs, dbt, LookML, Cube or exposure to financial data.

A background in consultancy, professional services or another highly stakeholder-facing environment would be particularly relevant.

If you're an experienced Data Analyst or Data Consultant looking for genuine ownership, strong stakeholder exposure and the opportunity to make an impact within a growing SaaS business, we'd love to hear from you.

## Description

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

This is a broad role combining data analysis, data quality, customer integrations and stakeholder management. You'll have genuine ownership, working closely with Engineering, Customer Success and customers to solve complex data problems and deliver trusted data.

What You'll Be Doing

 * Owning complex data quality issues from investigation through to resolution
 * Using SQL and Python to analyse, validate and improve data
 * Working closely with Engineering, Customer Success and customers on data integrations
 * Translating technical data issues into clear, practical recommendations
 * Identifying and driving improvements across data processes and quality
 * Taking ownership of projects and workstreams


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