At a Glance
- Tasks: Lead a team to create AI-driven data products and enhance data transparency.
- 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 career growth and collaboration across global teams.
- Why this job: Make a real impact in a world-class analytics organisation while developing your leadership skills.
- Qualifications: Experience in analytics engineering and proven leadership in technical teams required.
The predicted salary is between 80000 - 100000 £ per year.
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!
Core 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 having performance & cost optimisation applied.
- Drive Unity Catalog governance (schemas, access, metadata tagging) to improve data accessibility in highly controlled compliant environment.
- Coach 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, 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 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.
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.
Not Essential, Nice to Have!
- Cross-cultural understanding of working with global colleagues and partners across multiple time zones.
- 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 hiring team will discuss the policy and role eligibility with you during the recruitment process.
Employment Equality
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.
Join the LEGO Team Today Just imagine building your dream career. Then make it real.
Lead Analytics Engineer employer: the LEGO Group
At LEGO, 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 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.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analytics Engineer
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like the LEGO Group.
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We think you need these skills to ace Lead Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at the LEGO Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at the LEGO Group
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
