Senior Data Analyst

TRIA; Bradley Stoke; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Bonus

Excellent Benefits

Job summary

TRIA is seeking a Senior Data Analyst in Bristol with hybrid working (3 days onsite). You will own data quality issues, analyze data using SQL and Python, and collaborate with Engineering, Customer Success and clients on data integrations to deliver trusted insights.

The role requires 4+ years in data analytics or related fields, strong SQL/Python skills, and excellent stakeholder management. Bonus points for exposure to dbt, APIs and LookML.

Qualifications

• 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 STEM degree/ similar academic background.

Responsibilities

• 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.

Skills

SQL

Python

Data quality

Stakeholder management

Data analysis

Education

STEM degree

Tools

Git

APIs

dbt

LookML

Cube

Job description

Senior Data Analyst

Central Bristol | Hybrid (3 Days) | £60,000–£75,000 + Bonus + Excellent Benefits

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

What We're Looking For

• 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.