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.

PLAY YOUR PART IN OUR TEAM SUCCEEDING

The Data, Analytics & Business Improvement team is an analytics and continuous improvement practice within the LEGO Group’s Digital Consumer Engagement (DCE) function. Our focus is on establishing two-way, long-lasting and meaningful relationships with our consumers and shoppers. We believe that the ethical, transparent, and effective use of consumer data is key to this ambition.
We are seeking a dedicated analytics enablement specialist to join our team and lead the set-up of our data platform and analytics reporting layer for a domain within the team. Partner closely with our Data Office and engineers across digital product teams, and work with analytics business partners to transform raw data into a reusable format that can be used for analysis & reporting. Join a team of likeminded people who collectively are shaping how we approach analytics on our LEGO owned apps and websites!

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 – We’re looking for a lynchpin who isn’t afraid to get things done even when they don’t have formal authority over everyone who needs to be involved to make it work, and is able to build collaborative working relationships across organizational boundaries.
• 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.

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.

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.

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 – We’re looking for a lynchpin who isn’t afraid to get things done even when they don’t have formal authority over everyone who needs to be involved to make it work, and is able to build collaborative working relationships across organizational boundaries.
• 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