Data Specialist

About the Role

Key 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 (ie personalization, digital consumer engagement).
• 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.
• 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.

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.
• Thorough and detail oriented, strong adaptability and focus to deliver results.
• Dedicated, with ability to take ownership and accountability of initiatives.
• Collaborative personality with an #OneTeam approach.
• Positive can-do attitude, with natural curiosity and bravery to challenge constructively.
• Willing to travel approximately 10 days a year.
• Fluent English skills both verbal and written.

Nice to Have

• Cross-culture understanding of working with global colleagues and partners across multiple time zones.
• Experience working with complex ETL processes and knowledge of data transformation best practices.
• 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.

Qualifications

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

Benefits & Perks

• 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 - Access to the Headspace App and wellbeing initiatives and programs.
• Colleague Discount - From day 1, qualify for our generous colleague discount.
• Bonus - When goals are reached and if eligible, rewarded through our bonus scheme.
• Workplace flexibility with a hybrid working model of 3 days in the office per week.