At a Glance
- Tasks: Join us as an Analytics Engineer to shape our data-driven culture and enhance LEGO's digital products.
- Company: LEGO is a global leader in play, dedicated to inspiring creativity and imagination in children.
- Benefits: Enjoy flexible hybrid work, generous discounts, wellbeing resources, and enhanced family care leave.
- Why this job: Be part of a dynamic team transforming raw data into impactful insights for consumer engagement.
- Qualifications: 2-3 years in analytics, strong SQL skills, and experience with big data platforms like Databricks.
- Other info: This is a 9-month contract based in Billund or London; relocation support not available.
The predicted salary is between 36000 - 60000 £ per year.
Do you want to help us build a data-driven culture for digital product development? We have an amazing job opportunity for you! We are looking for an Analytics Engineer in our Data, Analytics & Business Improvement team. Come and help us build a robust behavioral analytics platform for our portfolio of consumer-facing LEGO websites, apps, and other owned experiences.
Core Responsibilities
- Partner with multiple digital product teams to define & implement our data model, ensuring we have a scalable way of turning raw data from a range of sources into structured tables and data feeds that are aligned with the most common business questions requiring analysis and reporting.
- Work with Analytics Business Partners in the team to play an active role bridging the gap between business needs, technical possibilities, and privacy compliance requirements.
- Play a leading role to define the analytics infrastructure strategy for Digital Consumer Engagement.
- Design and create a semantic & reporting layer for our suite of digital products, including the build and maintenance of DBT models for our behavioral analytics platform.
- Partner with the LEGO Data Office to develop standards and ways of working for data producers and data consumers across Digital Consumer Engagement and embed these across digital product teams (data quality, data ownership, documentation, code standards, etc.).
- Support and/or manage ad-hoc third party data ingestions to the LEGO Data Platforms required, such as App Store Data, Media Agency Reporting, etc.
- Actively build and collaborate with a cross-functional data & analytics network to develop and embed standards for data modelling, data management, code standards, and documentation – ensure that we are set up to scale as our digital capabilities grow.
- Maintain a continual outside-in focus and drive our team’s understanding of the latest technologies and methods of managing and analyzing large data sets.
Do you have what it takes?
- Formal training in software development, product management, agile, or digital analytics and at least 2-3 years’ experience in a similar role.
- Deep, hands-on mastery of SQL, and ideally one of Python and/or R – This role is a technical profile and requires someone with a deep passion for analyzing large structured and unstructured data sets.
- Hands on experience with the set up and maintenance of bronze, silver, and gold layers in a big data platform, ideally Databricks and Apache Spark. And experience building and maintaining DBT models.
- A desire and passion for transforming raw data into structured tables which can answer common business questions.
- Proven experience working with behavioral data across web & app platforms.
- Comfort with ambiguity, and a natural preference for an environment where you play an active role in defining the solution to complex and undefined problems.
- Build trusted working relationships with both technical and non-technical colleagues and partners, and a demonstrated ability to simplify complex topics to those less familiar with data infrastructure.
This is a 9-month temporary position based in either Billund, Denmark or London, UK. Relocation support is not available for this role.
Nice to Have:
- Experience with applied statistics across multiple data sources.
- Passion for advanced data science & machine learning methodologies.
- Experience ingesting owned and 3rd party data sources into a central data platform, and building/maintaining data pipelines including working with and building APIs.
- Experience working with global teams across multiple geographies and cultures is an asset.
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 LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (e.g. 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.
Analytics Engineer (9-month contract) employer: LEGO Gruppe
Contact Detail:
LEGO Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer (9-month contract)
✨Tip Number 1
Familiarise yourself with the LEGO Group's data culture and their approach to analytics. Understanding their emphasis on ethical data use and consumer relationships will help you align your discussions during interviews.
✨Tip Number 2
Network with current or former employees in the Data, Analytics & Business Improvement team. They can provide insights into the team dynamics and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Brush up on your SQL skills and ensure you're comfortable discussing your experience with big data platforms like Databricks and Apache Spark. Be ready to share specific examples of how you've used these tools in past projects.
✨Tip Number 4
Prepare to discuss your experience with behavioural data and how you've transformed raw data into actionable insights. Highlight any collaborative projects where you bridged gaps between technical and non-technical teams.
We think you need these skills to ace Analytics Engineer (9-month contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, SQL, and data management. Emphasise any hands-on experience with big data platforms like Databricks and Apache Spark, as well as your ability to work with behavioural data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how it aligns with the LEGO Group's mission. Mention specific projects or experiences that demonstrate your ability to bridge technical and business needs.
Showcase Technical Skills: Clearly outline your technical skills, especially your mastery of SQL and familiarity with Python or R. Provide examples of how you've used these skills to solve complex problems or improve data processes in previous roles.
Highlight Collaborative Experience: Since the role requires building relationships across teams, include examples of past collaborations. Describe how you’ve worked with both technical and non-technical colleagues to achieve common goals, showcasing your ability to simplify complex topics.
How to prepare for a job interview at LEGO Gruppe
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with SQL, Python, and R during the interview. Be prepared to discuss specific projects where you've transformed raw data into structured tables, as this aligns closely with the role's requirements.
✨Understand the Business Context
Familiarise yourself with the LEGO Group's digital products and how analytics can drive consumer engagement. Demonstrating an understanding of how your work can impact business decisions will show that you are not just technically proficient but also business-savvy.
✨Prepare for Collaborative Scenarios
Since the role involves partnering with various teams, think of examples where you've successfully collaborated across different functions. Be ready to discuss how you navigated challenges and built relationships with both technical and non-technical colleagues.
✨Stay Updated on Industry Trends
Research the latest technologies and methodologies in data analytics, especially those relevant to behavioural data. Showing that you have a continual outside-in focus will demonstrate your commitment to staying ahead in the field and your passion for the role.