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Global

Analytics Engineer

London
Posted about 23 hours ago
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Accepting applications until: 14 August 2026

Job Description

Your Role: Analytics Engineer

As an Analytics Engineer at Global, you’ll be part of the Data team, building trusted, reusable data products that power analytics, insight and decision-making across the business. You’ll transform raw data into curated, business-ready datasets and shared metrics that Analysts and other collaborators can use with confidence.

Working closely with the Data Engineering and Analytics teams, you’ll apply business logic to the datasets being created and ensure best practices are followed—so our analytical data can be used by Business Intelligence, Data Science and Analytics teams, with clear, consistent definitions and metrics.

Key Responsibilities

  • Data Modelling & Product Development (50%)

    • Design, build and maintain scalable, reusable, well-documented data models for analytics, BI, product and data science use cases.
    • Transform complex raw and intermediate data into curated datasets aligned to business needs, and develop reusable semantic layers, metrics and core entities, working with Data Engineering to ensure source structures support high-quality outputs.
  • Data Quality, Testing & Documentation (25%)

    • Build automated checks for freshness, completeness, consistency and accuracy, and establish testing standards including schema, business rule and metric validation.
    • Maintain clear documentation so users understand datasets, definitions and intended use, improving discoverability and usability across Global.
  • Business Partnership & Metric Definition (25%)

    • Partner with Analytics, Product, Data Science and commercial stakeholders to translate requirements into robust data models.
    • Align stakeholders on common definitions, KPIs and business logic across audience, campaign and measurement use cases, and identify where analytics engineering can improve insight, consistency and speed to value.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What You’ll Love About This Role

  • Think Big: Work with some of the largest and most diverse datasets in UK media, helping to unlock their value across Global.
  • Own It: Build deep expertise in one or more data domains and take end-to-end ownership of key data products.
  • Keep it Simple: Focus on reusable datasets and models that simplify complex data and support multiple use cases.
  • Better Together: Be part of a kind, supportive team that looks out for each other and invests in a strong, inclusive culture.

What Success Looks Like

In your first few months, you’ll have:

  • Learned how the team operates and uses technologies such as Snowflake, dbt and Airflow.
  • Built a clear understanding of the strategic direction of Data and Analytics at Global and how it supports wider business goals.
  • Integrated into Agile ceremonies such as daily stand-ups, retrospectives and backlog refinements.
  • Started to build a strong understanding of Global’s datasets and how they are used across the business.

What You’ll Need

  • Analytics engineering skills: Experience in an Analytics Engineering or closely related data role.
  • Data modelling: Proven ability to design and maintain scalable, well-documented data models that enable multiple use cases.
  • Curation tools & SQL: Experience with tools such as dbt and/or Python, and the ability to write complex, efficient SQL, ideally on cloud platforms (e.g. Snowflake).
  • Orchestration & DataOps: Experience with orchestration (e.g. Airflow), git and CI/CD, and an appreciation of FinOps.
  • Cloud: Experience with cloud services, ideally AWS.
  • Agile ways of working: Understanding of Agile methodologies and tools such as Jira.
  • Communication & delivery: Strong organisational skills and attention to detail, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Growth mindset: A demonstrated ability to learn new skills and pick up new technologies quickly.

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Global is home to some of the UK's best-loved radio stations such as Heart, Capital and Classic FM, to name a few, we keep 25.2 million listeners tuned in and entertained each week. And that's just for starters; we’re one of the leading Outdoor advertising companies in the UK, having recently acquired Primesight and Outdoor Plus. With over 35,000 sites covering 95% of the UK population, Global Outdoor packs a punch! In 2018 we launched our awards ceremony, The Global Awards, to celebrate the biggest stars of music, news and entertainment.

To enable us to deliver the absolute best product to our audiences, we need the absolute best people across a range of disciplines. From Technology and Programming to Marketing and Commercial. From Digital to Finance to Legal and beyond, it’s the diverse mix of skills and people that make Global what it is.

For us, it’s not just about talent, it’s about the right attitude and a personality to match. Simply put, we're passionate about radio, music, media & entertainment - welcome to our world.

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Skills

Data Modelling
SQL
dbt
Python
Snowflake
Airflow
Git
CI/CD
AWS
Agile
Jira
DataOps
FinOps
Business Intelligence
Data Curation
Stakeholder Management

Location

London, England, United Kingdom

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