Senior Analytics Engineer

the LEGO Group • Boston, MA

1d • $107,885 - $161,827 • Hybrid

About The Position

Are you ready to join an energetic, pioneering data and analytics enablement team, as part of a company wide digital transformation and entering into a new era of Analytics & Insights? Our Commercial A&I function is recognized by the executive leadership team for spearheading the growth in analytics maturity at the LEGO Group, and driving quantifiable commercial value through data and insights! The overall department’s key focus is to enable self-service data products for Markets & Channels (Commercial) data consumers and decision makers; helping shape data-driven actions both for operational optimization purposes and tactical and strategical decision recommendations. Within this mandate, the Analytics Engineering team’s responsibility is to build an AI-enabled data foundation the entire company can rely on. The key partners of this role will be focused on our A&I and broader Commercial organization but have potential to expand to be multifunctional in areas such as Data Science, Marketing, Finance, Operations, etc. This role is essential as we strive to build a world-class analytics organization, capable of delivering scalable data products, AI-driven insights and real decision intelligence.

Requirements

• Analytics Engineer, Data Solutions, Data Engineering and/or Data Specialist experience.
• Strong skills in SQL and/or Python or similar experience in manipulating large structured and unstructured datasets.
• Experience working with CI/CD pipelines, Git and knowledge of data transformation best practices.
• Can provide technical context and direction, translating technical constraints / trade-offs to people within non-technical roles, including senior leadership.
• Thorough and meticulous, strong adaptability and focus to deliver results.
• Hard-working, with the ability to take ownership and accountability of large initiatives.
• Strong collaborative personality with a #OneTeam perspective.
• Positive can-do attitude, with natural curiosity and bravery to challenge constructively.
• Bachelor's degree or equivalent experience in applicable subject [Mathematics, Sciences, BI, Analytics, etc.] OR practical experience with track record in relevant tools.
• Willing to travel 10 days a year.
• Fluent English skills both verbal and written.

Nice To Haves

• Commercial experience within a large scale organization with cross-functional high velocity, high volume data.
• Global experience collaborating with colleagues and partners across multiple time zones.
• Use of coding assistants.
• Familiarity with AGILE ways of working.

Responsibilities

• Build data pipeline engineering, orchestration, and monitoring to deliver high-quality data products centered around Retail Execution Commercial pillar.
• Ensure Data Products follow CI/CD standards, adhere to data quality frameworks; include assertion checks and have performance & cost optimization applied.
• Build and maintain semantic layer infrastructure including metric view pipelines, materialization and optimization
• Drive Unity Catalog governance (schemas, access, metadata tagging) to improve data accessibility in highly controlled compliant environment
• Collaborate closely with the Analytics Interface, Commercial Analytics and business teams to turn business requirements into productionised AI-enabling data products.
• Enable Markets & Channels specific data understanding and champion data literacy via guidelines, training, drop-in sessions, documentation, and knowledge sharing.
• Partner with the Analytics Innovation & Automation and Data Office product teams to prototype & deliver innovative features across the Data Platform; ensure platforms, tools & processes meet business needs
• Collaborate with Shopper & Partner (D2C & B2B) digital product teams to ensure high quality data is collected and published to LEGO Data Platform (Databricks) to a standard fit for purpose for downstream delivery of data products.
• Consistently champion best practices in data product development within the team, across Markets & Channels and with the broader analytics community, helping ensure data integrity, -quality, and -scalability of overall data products on the LEGO Data Platform.

Benefits

• 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 you to be your best self, so you’ll have access to the Headspace App and lots of wellbeing initiatives and programs run by local teams where you are based
• 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
• Your 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level