Senior Data Specialist

Job Description

Are you interested in being a key contributor in enabling our LEGO® Retail organization to understand its shoppers 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 retail/ecommerce 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

• Partner with LEGO® Brand Retail (Stores) digital product teams to ensure high quality data is collected and published to LEGO Nexus (databricks) to a standard fit for purpose for downstream delivery of data products.

• Transform, cleanse and enrich data to create self-serve data sources for use across LEGO® Brand Retail, Branded Channels, the broader A&I and LEGO® Retail teams & other data consumers (ie personalization, retail excellence).

• Develop self-serve dashboards regarding LEGO® Brand Retail metrics, and establish the use of these tools with LEGO Retail and broader Commercial colleagues to drive data driven decision making.

• Collaborate with colleagues, specifically Retail Excellence, Data Science and Commercial Analytics to continually iterate and enrich data product & overall data availability.

• Enable LEGO® Retail specific data understanding and champion data literacy via guidelines, training, drop-in sessions, documentation, and knowledge sharing.

• Partner with the Data Office to ensure platforms, tools & processes meet business needs; acting as inputters, collaborators, testers and/or ambassadors.

• Consistently champion best practices in data product development within the team, across LEGO® Retail and with the broader analytics community, helping ensure data integrity, -quality, and -scalability of overall LEGO® Retail data products on the LEGO Data Platform.

Play your part in our team succeeding

The department’s key focus is to enable self-service data products for LEGO® Retail data consumers and decision makers, helping shape data-driven actions both for operational optimization purposes and tactical and strategical decision recommendations. The key partners of this role will initially be heavily focused in LEGO® Brand Retail but have potential to expand to be multifunctional in areas such as Marketing, Finance, Operations etc.

This role is essential as we further invest in our digitization agenda, and our new data strategy, including scaling the LEGO® Data Platform to unlock the value from data across the LEGO® Group. In order to become truly data-driven, our first party retail and direct to consumer activity is the cornerstone to everything we do. This role will help both enrich our current data landscape and bring new data variables to life, but also enable important data development projects around the business to use LEGO® Retail data that will both increase accuracy in the models and speed up insights to action.

Do you have what it takes?

• Data Specialist, Data Solutions and/or Data Engineering experience.

• Expert skills in SQL and/or Python or similar experience in manipulating large structured and unstructured datasets.

• Experience working with complex ETL processes and knowledge of data transformation best practices.

• Expert skills in data visualization – Power BI or similar.

• Experience in the Retail industry.

• Can provide technical context and direction, translating technical constraints / trade-offs to people within non-technical roles, including senior leadership.

• Thorough and detail oriented, strong adaptability and focus to deliver results.

• Dedicated, with ability to take ownership and accountability of large initiatives.

• Strong collaborative personality with a #OneTeam approach.

• 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.

Nice to have:

• Experience with CI/CD pipelines

• Cross-culture understanding of working with global colleagues and partners across multiple time zone

• Familiarity with AGILE ways of working

• University degree or equivalent experience or similar qualification in applicable subject [Mathematics, Sciences, BI, Analytics, etc.] OR practical experience with track record in relevant tools.

Additional details on this position:

• Our workplace enables our LEGO® colleagues to be and do their best at work. Introducing a flexible