Analytics Engineer

Build rigorous automated checks to ensure freshness, completeness, consistency and accuracy of datasets.

Establish testing standards for analytics models, including schema, business rule and metric validation.

Create and maintain clear documentation so users can quickly understand datasets, definitions and intended use cases.

Improve discoverability and usability of data assets across the Global environment.

Partner with Analytics, Product, Data Science and commercial stakeholders to understand requirements and translate them into robust data models.

Align stakeholders on common definitions, KPIs and business logic across audience, campaign and measurement use cases.

Support decision-making by ensuring analytical datasets reflect the right level of business context and domain understanding.

Identify strategic opportunities where analytics engineering can improve insight generation, consistency and speed to value.

Think Big : We’ve got some of the largest and most diverse data sets in UK media – with scale that continues to grow. You’ll play a role in harnessing the value in that data.

Own It : You’ll be doing this by gaining expertise in one of our data domains

Keep it Simple : With a focus on reusability of data sets and models to support multiple use cases

Better Together : You’ll be working in a team with kind, supportive people that look out for you and help you to do the best work that you can. We put a lot of energy into our team culture and ensuring that everyone is fulfilled with their work.

In your first few months, you’ll have:

Learnt how the team operates and uses technologies such as Snowflake, dbt, Airflow

Built a clear understanding of the strategic direction of Data and Analytics at Global as well as how these feed into the wider business’ goalsWorked with the Data Engineering and Analytics teams to structure datasets that can be used to build data products and other use cases depending on stakeholder briefs

Integrated within Agile team ceremonies such as daily stand ups, retrospectives and backlog refinements

Started to establish a strong understanding of Global’s datasets and their use in the business

Analytics Engineering Skills: previous experience in an Analytics Engineering position Data Modelling : Proven ability to design and maintain scalable, well-documented data models that enable multiple use cases. Data Curation Tools: e.g. dbt or Python for data manipulation and transformation SQL: ability to write complex SQL that runs efficiently especially on cloud data platforms (E.g. Snowflake) Orchestration: Proficiency with orchestration tools (E.g. Airflow) DataOps: Experience with git & CI/CD, and appreciation of FinOps Cloud: Proficiency with cloud services (ideally AWS)

Data Modelling : Proven ability to design and maintain scalable, well-documented data models that enable multiple use cases.

Data Curation Tools: e.g. dbt or Python for data manipulation and transformation

SQL: ability to write complex SQL that runs efficiently especially on cloud data platforms (E.g. Snowflake)

Orchestration: Proficiency with orchestration tools (E.g. Airflow)

DataOps: Experience with git & CI/CD, and appreciation of FinOps

Cloud: Proficiency with cloud services (ideally AWS)

Agile ways of working: Understanding of Agile methodologies and experience of using Jira

Can do attitude: Proactive, problem-solving attitude with strong attention to detail

To be organised: Strong organisational skills with the ability to work both individually or part of a team and an eye for detail and quality

Great communication: An ability to break down and explain sophisticated technical concepts to business end users

A growth mindset: A proven ability to learn new skills and pick up new technologies quickly

Creating a place we all belong at Global We are dedicated to creating a place where different voices are represented, amplified and celebrated. We know that we can’t serve our diverse audiences without first celebrating it in our people, which is why we’re passionate about creating an inclusive culture where every Globaller can belong. So, no matter who you are or where you are from, you can find your place at Global. As a business, we believe in the importance of a healthy work-life balance and the value of a flexible and agile workforce. Therefore, we operate a Smart Working approach. If you need us to make any reasonable adjustments during your recruitment process, drop us an email at recruitment@global.com , we’ll be happy to help.