Enable LEGO Retail organization to understand its shoppers deeply and expand data transparency to drive data driven decisions that always put the shopper first
Requirements
- Data Specialist, Data Solutions and/or Data Engineering experience
- Strong skills in SQL and/or Python or similar experience in manipulating large structured and unstructured datasets
- Strong skills in data visualization – Power BI or similar
- Experience in the Retail industry, preferably with Marketing/Promotional experience
- Can provide technical context, translating technical constraints and trade-offs to colleagues within non-technical roles, including leadership
Responsibilities
- Partner with Promotions & Marketing 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 Marketing, the broader A&I and LEGO Retail teams & other data consumers
- Develop self-serve dashboards regarding Marketing & Promotions, and establish the use of these tools with LEGO Retail and broader Commercial colleagues to drive data driven decision making
- Collaborate with colleagues, specifically Promotions, Marketing, Data Science and A&I 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
Other
- Willing to travel approximately 10 days a year
- Fluent English skills both verbal and written
- 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
- Positive can-do attitude, with natural curiosity and bravery to challenge constructively
- Dedicated, with ability to take ownership and accountability of initiatives
