Lead Analytics Engineer

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 having 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.

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 Analytics Engineering delivery team consists of the more junior Engineers, requiring more technical coaching and guidance. The key stakeholders of this role will be focused on our AI 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.

• 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 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.

• Family Care Leave - enhanced paid leave options for important times.
• Insurances - life and disability insurance to provide protection and peace of mind.
• Wellbeing - resources and benefits to nurture physical and mental wellbeing, and opportunities to build community and inspire creativity.
• Colleague Discount - generous discount from day 1.
• Bonus - rewards through our bonus scheme when goals are reached and if eligible.
• Workplace - hybrid work policy, average of 3 days per week in the office, primary workplace location assigned.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do.

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.