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Head of Analytics
Job in
Derby, Derbyshire, DE1, England, UK
Listed on 2026-09-12
Listing for:
Women in Data®
Full Time
position Listed on 2026-09-12
Job specializations:
-
IT/Tech
Data Analyst, Business Intelligence
Job Description & How to Apply Below
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.
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
- 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…
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