Head of Analytics

Head of Analytics – Women in Data® – LEGO Group

Job Level: Director

Lead the Western European Analytics & Insights function to drive data‑driven growth  as a strategic advisor, blending business acumen, analytical expertise, and storytelling skills to inform decisions, optimize performance, and drive commercial growth.

• 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

• 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.

• 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

• 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…