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Looker Developer​/BI Analyst

Job in Sheffield, South Yorkshire, S5, England, UK
Listing for: Tes Global
Full Time position
Listed on 2026-09-07
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 50000 GBP Yearly GBP 50000.00 YEAR
Job Description & How to Apply Below
Position: Looker Developer / BI Analyst
Job Title:

Looker Developer (BI Analyst)
Department:
Data & Insights

Location:

Sheffield or London Working Pattern:
Hybrid, includes 3 days each week in the office

Contract Type:
Full time, permanent

Salary:
Up to £50,000 per annum

At Tes we are on a mission to power schools and enable great teaching worldwide, by delivering EdTech solutions that give educators the tools to succeed. From safeguarding and compliance to staff and pupil management, our innovative and flexible software and services help teachers and school leaders worldwide to provide the best education to millions of children.

With more than 13 million educators in our community, combined with our working relationships with 25,000 schools in over 100 countries, we have been making a difference for over 100 years. Role overview

As a Looker Developer at Tes, you will play a key role in our data transformation journey, helping scale and mature our analytics capabilities through Looker. You will be responsible for designing, developing, and maintaining LookML models and delivering high-quality, governed data experiences across the business.

Working closely with the wider Data & Insights team and business stakeholders, you will ensure that data is modelled effectively, accessible, and trusted—empowering teams to make data-driven decisions that positively impact the education sector.

This role sits within the Data & Insights department.

Key Responsibilities Act as a subject matter expert for Looker, advocating best practices in semantic modelling, governance, and self-service analytics

Design, develop, and maintain LookML models, including views, explores, and dashboards

Build scalable and reusable semantic layers to ensure consistency and trust in business metrics

Partner with Sales, Marketing, Product, and Finance teams to understand reporting needs and translate them into robust Looker solutions

Develop and maintain data pipelines and transformations (in collaboration with analytics engineering teams) to support Looker models

Optimise Looker performance through efficient modelling, caching strategies, and query design

Enable and promote self-service analytics by creating intuitive dashboards and curated explores

Enforce data governance standards, ensuring accuracy, consistency, and proper documentation of metrics

Analyse datasets to identify trends, patterns, and insights, clearly communicating findings to stakeholders

Support business users in adopting Looker, including training, documentation, and best practice guidance

Collaborate cross-functionally to align on KPIs, definitions, and data strategy

Contribute to continuous improvement of the data platform, tooling, and processes

What will you need to succeed?

Strong experience with Looker and LookML development

Advanced SQL skills with several years of hands-on experience

Experience building scalable semantic layers in a BI tool (Looker preferred)
Solid understanding of data modelling principles (e.g., star schema, dimensional modelling)

Experience with ETL/ELT tools (e.g., dbt, Fivetran or similar)
Knowledge of data governance and metric standardisation practices

Experience delivering high-quality dashboards and data visualisations

Strong analytical and problem-solving skills

Ability to translate business requirements into technical solutions

Excellent stakeholder engagement skills and the ability to influence decision-makingA curious mindset with a passion for continuous learning

It’s beneficial if you have experience/knowledge in:

Advanced Looker capabilities, such as extensions, API usage, or embedded analytics

Cloud data platforms (e.g., AWS Redshift, Snowflake, Big Query)
Analytics engineering practices and tools (e.g., dbt testing, CI/CD for LookML)
Programming languages such as Python or RWorking on data transformation or modern data stack implementations

Supporting or driving organisation-wide BI adoption initiatives

What do you get in return? 25 days annual leave rising to 30 5% pension after probation

State of the art offices Access to a range of benefits via My Benefits World Free eye care cover Life Assurance Cycle to Work Scheme EAP (Employee assistance programme) Quarterly Tes Socials Access to an…
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