Head of Analytics – Women in Data® – LEGO Group
Job Level: Director
Lead the Western European Analytics & Insights function to drive data‑driven growth at LEGO. Act as a strategic advisor, blending business acumen, analytical expertise, and storytelling skills to inform decisions, optimize performance, and drive commercial growth.
Key Activities
- Analyzing business intelligence data to inform business and product decisions
- Data modelling and report building / optimization
- Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses
- Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends
- Focusing on the technical aspects of data analysis, management, and reporting
Core Responsibilities
- Business Performance Analysis: Conduct deep‑dive analysis into business performance metrics, identifying trends, patterns, and outliers to uncover growth opportunities and potential risks.
- Advanced Analytics & Forecasting: Apply statistical, mathematical, and predictive modelling techniques to forecast market dynamics, assess economic conditions, and support scenario planning.
- Data Architecture & Models: Develop data frameworks, visualization dashboards, and analytical models that enable scalable insights and decision‑making.
- Integrated Insights: Combine internal performance metrics with market, competitive, shopper, and macroeconomic data to deliver a comprehensive view of business health and identify areas for improvement.
- Strategic Storytelling: Translate complex data insights into clear, compelling narratives that influence partners and drive actionable decisions aligned with business objectives.
- Collaborative Partnerships: Work cross‑functionally with marketing, sales, finance, and operations to align insights with business strategies and ensure data‑informed execution.
Do you have what it takes?
- Analytical Proficiency: Expertise in SQL, Python, and visualization tools (e.g., Tableau, Power BI).
- Data Strategy & Modeling: Strong understanding of data platforms (e.g., Snowflake, Databricks) and ability to develop statistical models for scenario analysis and performance measurement.
- Problem‑Solving Ability: Aptitude for breaking down complex problems and applying analytical frameworks to generate solutions.
- Storytelling with Data: Ability to create compelling narratives that align insights with business priorities and influence partners.
- Commercial Acumen: Deep understanding of business performance drivers, market trends, and consumer behaviour to provide insights that impact commercial strategies.
- Collaboration & Influence: Skilled at partnering with cross‑functional teams and influencing collaborators at all levels.
- Oversee the entire analytics function within an organization, ensuring that the team's outputs align with business goals and strategies.
- Develop the long‑term vision for the analytics function and how it should evolve in line with business objectives.
- Provide executive‑level reports and strategic insights to guide the overall direction of the business.
- Lead and manage a team of analysts and partners across various business units.
- Collab‑orate closely with senior leadership, ensuring analytics solutions meet business needs and provide competitive advantage.
- Manage budgets and resources for the analytics team, ensuring the team is well‑equipped to meet organisational goals.
- Lead a team
- Independently handle conflicts in negotiation
- Manage large projects or processes independently
- Work independently, recognised subject matter expert, able to lead others, tasks are independently identified and defined
Minimum Qualifications
- Expertise with Big Data Tools & Platforms: Strategically evaluates and optimises data platform usage; sets standards for the team; may not implement directly but possesses deep understanding of tool functionalities.
- SQL and Python Coding: Proficient – Reviews code and provides guidance; focuses on leading technical direction rather than hands‑on coding.
- Data Science Tools: Advanced – Understands broader applications; collaborates with technical teams to scale predictive and prescriptive analytics solutions.
- Exploratory Data Analysis & Statistical Methods: Advanced – Guides teams in designing experiments and deriving insights aligned with business strategy.
- Storytelling with Data & Commercial Insights: Expert – Communicates insights effectively to executive‑level audiences; drives alignment between data insights and business decisions.
What’s in it for you?
- Family Care Leave – Enhanced paid leave for important times.
- Insurances – Life and disability insurance for all colleagues.
- Wellbeing – Resources and benefits to nurture physical and mental wellbeing.
- Colleague Discount – Generous colleague discount from day 1.
- Bonus – Rewarded through the bonus scheme when goals are reached and if eligible.
- Workplace – Primary workplace location (office, store or factory); hybrid policy – average 3 days per week in the office.
Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture where everyone feels safe, valued and belongs.
LEGO Group is fully committed to equal employment opportunity and equal pay and encourages applicants from all backgrounds (e.g., sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.
LEGO Group is highly committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.
Thank you for sharing our global commitment to Children’s Rights.
Join the LEGO® team today.
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