Senior Data Analyst - Own Data Quality & Integrations

TRIA; West of England; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Bonus

Excellent Benefits

Job summary

TRIA in Bristol is seeking a Senior Data Analyst to join a product-focused SaaS team. This hybrid role (3 days in Bristol) involves data analysis, data quality, customer integrations and close collaboration with Engineering and Customer Success to deliver trusted data.

You will own data quality issues, use SQL and Python to analyse data, and translate complex data findings into practical recommendations while guiding stakeholders across projects.

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.
• Ability to explain data concepts to technical and non-technical audiences.
• Consultative, solutions-focused approach with stakeholder advising.
• Strong ownership and problem-solving skills.
• STEM degree or equivalent 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

ETL/ELT

Stakeholder management

Education

STEM degree

Tools

Git

APIs

dbt

LookML

Cube

Job description

TRIA in Bristol is seeking a Senior Data Analyst to join a product-focused SaaS team. This hybrid role (3 days in Bristol) involves data analysis, data quality, customer integrations and close collaboration with Engineering and Customer Success to deliver trusted data.

You will own data quality issues, use SQL and Python to analyse data, and translate complex data findings into practical recommendations while guiding stakeholders across projects.