Senior Analytics Engineer

Job Description

Your Role: Senior Analytics Engineer

A hands-on analytics engineering role focused on building trusted, scalable data models that power insight, measurement and AI-driven decision-making.

As a Senior Analytics Engineer at Global, you will:

Key Responsibilities

• • Data Modelling & Product Development (50%): Design, build and maintain scalable, reusable and well-documented data models and curated datasets that support analytics, BI, product and data science use cases. Translate complex raw data into trusted, business-aligned datasets.
• • Data Quality, Testing & Documentation (25%): Implement robust testing frameworks and automated checks to ensure data accuracy, consistency and reliability. Maintain clear documentation and improve discoverability of datasets and metrics.
• • Business Partnership & Metric Definition (25%): Work closely with Analytics, Product, Data Science and commercial teams to define and align on KPIs, business logic and data definitions. Ensure datasets support consistent decision-making across the organisation.

What You’ll Love About This Role

Think Big: Help build foundational analytics models and standards for a next-generation AI-driven intelligence platform.

Own It: Take responsibility for trusted datasets and business logic that underpin key commercial and product decisions.

Keep it Simple: Turn complex, messy data into clear, reusable and well-structured data products.

Better Together: Collaborate across Data Engineering, Product, Analytics and Commercial teams to solve real-world problems.

What Success Looks Like

In your first few months, you’ll have: • Built a strong understanding of the Global:IQ vision and key use cases • Delivered curated datasets supporting key targeting, optimisation or measurement needs • Established consistent business logic, definitions and KPIs across teams • Improved testing, documentation and data quality practices for core models • Embedded yourself into agile delivery processes and cross-functional teams • Identified opportunities to improve scalability, clarity and reusability of data models

What You’ll Need

• • Analytics Engineering Experience: Background in analytics engineering or a similar data modelling-focused role
• • SQL Expertise: Strong SQL skills with experience using cloud data platforms (e.g. Snowflake)
• • Data Modelling Skills: Proven ability to design scalable, well-structured and reusable data models
• • Tooling Experience: Experience with dbt, Python, Airflow or similar modern data stack tools
• • DataOps Practices: Familiarity with git, CI/CD and testing frameworks for data pipelines
• • Data Quality Focus: Strong understanding of validation, documentation and testing best practices
• • Stakeholder Collaboration: Ability to translate business needs into robust analytical datasets and definitions
• • Communication Skills: Able to explain technical concepts clearly to both technical and non-technical audiences
• • Mindset: Detail-oriented, pragmatic, proactive and comfortable working in fast-moving environments

How we hire

Got your eye on a role?

Submit application

If one of our roles has caught your eye, the first step is to submit your application. You’ll be asked for a CV, and sometimes a cover letter too. We love nothing more than seeing what you’re passionate about, so portfolios, videos and demos are always a great addition at this stage.

The process

If we think you’re a great fit, one of our team will get in touch for a chat. This will usually be an informal call, where we get to know each other a little better. After this, you’ll go into a first stage interview with the hiring team.

Interview and meet the team

This is where you’ll meet your potential manager, and some of your teammates. Sometimes these interviews include a task to complete ahead of time, which you’ll run through in the session. Aside from the task, it’s a good idea to look through our values and see how they align with your own. We also love questions — so don’t forget to use this as an opportunity to interview us too.

What's next?

After all interviews are completed, we’ll get back to you as quickly as possible. This is usually within a few weeks of applying, and slightly longer for busier roles. If our stars align, our recruitment team will be in touch with the good news! They’ll talk you through the next steps, like signing your contract and the onboarding process. If you’re not successful this time round, it's likely that you’d be great for another position so we would love to keep in touch!