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 creativity and innovation.
- Benefits: Enjoy family care leave, insurance, wellbeing resources, and a generous colleague discount.
- Other info: Hybrid work policy with excellent career growth opportunities.
- Why this job: Make a real impact in a dynamic environment while shaping data-driven decisions.
- Qualifications: Experience in analytics engineering and proven leadership skills required.
The predicted salary is between 70000 - 90000 £ 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 a 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, and scalability of overall data products on the LEGO Data Platform.
Do you have what it takes?
- 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-culture 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.
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?
- 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.
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.
Lead Analytics Engineer in London employer: Lego
The LEGO Group is an exceptional employer that fosters a dynamic and inclusive work culture, prioritising employee wellbeing and growth. With a strong commitment to innovation and collaboration, employees benefit from generous perks such as enhanced family care leave, comprehensive insurance coverage, and a rewarding bonus scheme. Located in a vibrant environment, the company encourages creativity and offers opportunities for professional development, making it an ideal place for those looking to make a meaningful impact in the analytics field.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Show them you’re not just another candidate; you’re genuinely interested in their mission and values.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills and experiences make you the perfect fit for the role. Keep it concise but impactful.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the position.
We think you need these skills to ace Lead Analytics Engineer in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data and analytics shine through! We want to see how your curiosity drives you to explore data solutions and how you can contribute to our mission of making data-driven decisions.
Tailor Your Experience:Make sure to highlight your relevant experience in analytics engineering and leadership. We love seeing how your past roles have prepared you for this position, so don’t hold back on showcasing your skills in SQL, Python, and CI/CD practices!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand. Use bullet points if it helps to break down your key contributions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Lego
✨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 job focuses on driving data-driven decisions that put the shopper first. Familiarise yourself with the commercial aspects of the business and be ready to discuss how your work can directly impact decision-making. Show your curiosity about the company's goals and how you can contribute.
✨Prepare for Technical Questions
Expect questions about CI/CD pipelines, data quality frameworks, and best practices in data product development. Review these concepts and think about how you've applied them in your past experiences. Being able to explain technical constraints to non-technical stakeholders will also be key.
