Analytics Engineer

LEGO

Are you interested in being a key contributor in enabling our Markets & Channels organisation to understand its commercial impact deeply and expand data transparency to drive data driven decisions that always put the shopper first?

Bring your understanding of data p latforms together with your retail knowledge and natural curiosity into play in this role to be part of a pioneering data and analytics team bringing digital transformation to life in our commercial areas!

Core Responsibilities

  • Build data pipeline engineering, orchestration, and monitoring to deliver high-quality data products centred around one of our three Commercial Domain pillars.

  • Ensure Data Products follow CI/CD best practice, adhere to data quality

  • frameworks; include assertion checks and have performance & cost optimisation applied.

  • Build and maintain semantic layer infrastructure including metric view pipelines, materialisation and optimisation

  • Drive Unity Catalog governance (schemas, access, metadata tagging) to improve data accessibility in highly controlled compliant environment

  • Collaborate closely with the Analytics Interface, Commercial Analytics and business teams to turn business requirements into productionised AI-enabling data products.

  • Enable Markets & Channels specific data understanding and champion data literacy via guidelines, training, drop-in sessions, documentation, and knowledge sharing.

  • Partner with the Analytics Innovation & Automation and Data Office Product teams to prototype & deliver cutting edge features across the Data Platform; ensure platforms, tools & processes meet business needs

  • Collaborate with Shopper & Partner (D2C & B2B) digital product teams to ensure high-quality data is collected and published to LEGO Data Platform (Databricks) to a standard fit for purpose for downstream delivery of data products.

  • Consistently champion best practices in data product development within the team, across M arkets & Channels and with the broader analytics community, helping ensure data integrity, -quality, and -scalability of overall data products on the LEGO Data Platform.

Play your part in our team succeeding!

The overall department’s key focus is to enable self-service data products for Markets & Channels (Commercial) data consumers and decision makers; helping shape data- driven actions both for operational optimisation purposes and tactical and strategical decision recommendations. Within this mandate, the Analytics Engineering team’s responsibility is to build an AI-enabled data foundation the entire company can rely on.
The key stakeholders of this role will be focused on our A&I and broader Commercial organisation but have potential to expand to be multifunctional in areas such as Data Science, Marketing, Finance, Operations, etc.
This role is essential as we strive to build a world-class analytics organization, capable of delivering scalable data products, AI-driven insights and real decision intelligence.

Do you have what it takes?

  • Analytics Engineer, Data Solutions, Data Engineering and/or Data Specialist experience.

  • S trong SQL and/or Python skills or similar experience in manipulating large structured and unstructured datasets.

  • Wo rking knowledge of CI/CD pipelines, Git and data transformation best practices.

  • A bility to translate technical constraints / trade-offs to people within non-technical roles.

  • Thorough and detail-oriented, strong adaptability and focus to deliver results.

  • Self-driven, with the ability to deliver towards large initiatives as part of a cross- functional squad.

  • Strong collaborative personality w ith a #OneTeam mindset.

  • Positive can-do attitude, with natural curiosity and bravery to cha llenge constructively.

  • Willing to travel 10 days a year.

  • Fluent English skills both verbal and written.

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.

What’s in it for you?

Here is what you can expect:

Family Care Leave - We offer enhanced paid leave options for those important times.

Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.

Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.

Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.

Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.

Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.

The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

Thank you for sharing our global commitment to Children’s Rights.

Just imagine building your dream career.

Then make it real.

Join the LEGO team today.

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