Senior Analytics & Insights Partner

Job Description

Are you ready to unleash your analytical prowess and make a real impact at one of the world’s most iconic brands? In this role, you'll harness the power of data to influence strategic decisions and drive growth, all while collaborating with passionate teams across the globe. If you thrive on transforming insights into action and love working in a dynamic environment, this is the perfect opportunity for you!

• Collaborate closely with the VP  and Retail leadership team to integrate data-driven insights into daily decision-making.
• Analyze large data sets (including big data analytics and data science) to uncover insights related to products, channels, customers, shoppers, and members, driving informed business strategies.
• Lead regular business reviews, focusing on clear and accessible communication of business performance and key data insights.
• Support and strengthen the data and insights capabilities across the Americas, sharing knowledge and creating meaningful opportunities for the team and the business to grow together.
• Support and socialize key business reports that enable efficient and effective decision-making, ensuring performance storylines are clear and actionable.
• Partner with cross-functional teams (Marketing, Sales, Operations, eCommerce) to ensure that insights are translated into strategic actions that drive commercial impact.
• Measure and report on key success indicators, ensuring the team’s work is aligned with commercial goals and drives meaningful impact.
• Collaborate with Global Analytics & Insights partners to systematize processes and recurring insights generation.

Play your part in our team succeeding:
As the Senior Analytics & Insights Partner for the , you will report directly to Head of A&I LEGO Retail and collaborate closely with the VP of  & the Channels Leadership team. You will be responsible for leading commercial performance analysis, finding opportunities, and enabling stronger commercial decisions through data-driven insights. Additionally you will collaborate across our global Analytics & Insights and LEGO Retail Teams to drive growth across the LEGO Group.

• Extensive experience in analytics and insights generation, with experience in consumer goods, retail, or eCommerce industries.
• Strong commercial competence with the ability to translate data into business impact and drive commercial decisions.
• Familiar with advanced analytics tools and techniques (e.g., SQL, predictive modeling, machine learning, statistical measurement) and data visualization platforms (e.g., Tableau, Power BI).
• Exceptional communication skills, with the ability to tell data-driven stories and influence key collaborators across all levels of the organization.
• Financial competence and outstanding analytical skills with the ability to build new metrics and reporting that drive performance.
• Skill in collaborating across various teams to integrate analytics into the decision-making processes throughout the organization.
• Proven experience in analyst type roles with focus in Retail or FMCG that demonstrate strong business partnership with senior leaders.
• Ability to travel approximately 2-4 times per year.

• Bachelor’s degree or equivalent experience in Finance, Marketing, Engineering, Math, Physics or related field preferred.
• Previous experience with Databricks.
• Experience in consulting, external market research, or with top-tier consumer brands.

• Our workplace enables our LEGO® colleagues to be and do their best roducing a flexible way of working through a hybrid working model is a great example of how we live up to our ambition. This 3 day in the office hybrid working model will exemplify our People Promise by embracing the different life situations of our colleagues.
• No relocation assistance is offered for this position.
• Applicants must be legally authorized to work in the United States. The company is unable to sponsor or take over sponsorship of an employment VISA for this position.

The salary for this position has a range of $ - $ based on anticipated responsibilities, market benchmarks, and…