Lead Analytics Engineer

Lead Analytics Engineer

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a team to deliver innovative data products and drive data-driven decisions.
  • Company: Join the LEGO Group, a pioneer in digital transformation and analytics.
  • Benefits: Enjoy family care leave, wellbeing resources, and a generous colleague discount.
  • Other info: Hybrid work policy with opportunities for professional growth and collaboration.
  • Why this job: Make a real impact in a world-class analytics organisation focused on data-driven insights.
  • Qualifications: Experience in analytics engineering and proven leadership skills required.

The predicted salary is between 70000 - 90000 £ per year.

About the role Are you interested in being a people leader and key contributor in enabling our Markets & Channels organization 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 platforms together with your leadership skills, 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!

Responsibilities

  • Lead a team of 5 Analytics Engineers & Associate Analytics Engineers, heading up the Analytics Engineering Delivery sub‑team in M&C Analytics Engineering.
  • Collaborate closely with the Analytics Interface, Commercial Analytics and business teams to turn business requirements into an AI‑enabling data product backlog.
  • Partner with the Analytics Innovation & Automation and Data Office Product teams to create and deliver the roadmap for prototyping & delivering cutting‑edge features across the Data Platform; ensure platforms, tools & processes meet business needs.
  • Responsible for the overall delivery of data products across all Commercial pillars; ensuring Data Products follow CI/CD best practice, adhere to data quality frameworks—including assertion checks and performance & cost optimisation—applied.
  • Drive Unity Catalog governance (schemas, access, metadata tagging) to improve data accessibility in a highly controlled compliant environment.
  • Coach the team to enable Markets & Channels specific data understanding and champion data literacy via guidelines, training, drop‑in sessions, documentation and knowledge sharing.
  • Drive the Commercial data availability agenda; collaborating 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 & revise best practices in data product development within the team, across Markets & Channels and with the broader analytics community, helping ensure data integrity, quality and scalability of overall data products on the LEGO Data Platform.
  • 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.
  • The Analytics Engineering delivery team consists of more junior Engineers, requiring more technical coaching and guidance.
  • 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.

Qualifications

  • Considerable Analytics Engineering, Data Solutions, Data Engineering and/or Data Specialist experience.
  • Proven leadership experience within a technical team or project.
  • Expert skills in SQL and/or Python or similar experience in manipulating large structured and unstructured datasets.
  • Experience working with CI/CD pipelines, Git and knowledge of data transformation and information architecture best practices.
  • Can provide technical context and direction, translating technical constraints / trade‑offs to colleagues within non‑technical roles, including senior leadership.
  • Thorough and detail‑oriented, strong adaptability and focus to deliver results.
  • Strong collaborative personality with a #OneTeam mindset.
  • Positive can‑do attitude, with natural curiosity and bravery to challenge constructively.
  • Willing to travel 10 days a year.
  • Fluent English skills both verbal and written.
  • Cross‑culture understanding of working with global colleagues and partners across multiple time zones (nice to have).
  • Familiarity with AGILE ways of working.
  • Strong understanding of Commercial Compliance topics such as Competition Law, GDPR and Confidentiality.

Benefits

  • 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 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.

Lead Analytics Engineer employer: 1034 LEGO Company Limited

At LEGO Group, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Lead Analytics Engineer, you will not only lead a talented team but also have access to extensive employee growth opportunities, comprehensive benefits including enhanced family care leave and wellbeing resources, and a generous colleague discount. Our commitment to equal employment opportunity and a hybrid work policy ensures that you can thrive both personally and professionally in a supportive environment.

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Contact Details:

1034 LEGO Company Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Analytics Engineer

Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or at events. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to analytics engineering. Use the STAR method (Situation, Task, Action, Result) to structure your answers. We want you to shine!

Tip Number 3

Showcase your leadership skills! Be ready to discuss how you've led teams or projects in the past. Highlight your ability to coach others and drive data literacy—this is key for the role!

Tip Number 4

Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind. Mention something specific from your conversation to show your genuine interest in the role.

We think you need these skills to ace Lead Analytics Engineer

Leadership Skills
Analytics Engineering
Data Solutions
Data Engineering
SQL
Python
CI/CD Pipelines

Some tips for your application 🫡

Show Your Leadership Skills:In your application, make sure to highlight any leadership experience you have. We want to see how you've guided teams or projects in the past, especially in technical environments. This role is all about leading a team, so let us know how you can inspire and coach others!

Be Data-Driven:Since this role revolves around data, it’s crucial to showcase your analytical skills. Talk about your experience with SQL, Python, or any other tools you've used to manipulate data. We love seeing how you’ve turned data into actionable insights in previous roles!

Tailor Your Application:Make sure your application speaks directly to the job description. Use similar language and terminology that we’ve used. This shows us that you understand the role and are genuinely interested in being part of our team at StudySmarter.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!

How to prepare for a job interview at 1034 LEGO Company Limited

Know Your Data Inside Out

As a Lead Analytics Engineer, you'll need to demonstrate your expertise in SQL and Python. Brush up on your skills and be ready to discuss how you've manipulated large datasets in previous roles. Prepare examples that showcase your ability to turn complex data into actionable insights.

Showcase Your Leadership Skills

This role involves leading a team, so be prepared to talk about your leadership experience. Think of specific instances where you coached or guided a team, especially in technical contexts. Highlight your collaborative approach and how you foster a #OneTeam mindset.

Understand the Business Impact

The company is looking for someone who can connect data engineering with commercial outcomes. Familiarise yourself with the business's goals and think about how your work can drive data-driven decisions. Be ready to discuss how you've previously aligned data products with business needs.

Prepare for Technical Questions

Expect questions about CI/CD pipelines, Git, and data transformation best practices. Review these concepts and be ready to explain how you've applied them in your past projects. This will show your technical depth and readiness to tackle the challenges of the role.