Head of Analytics - Western Europe

LEGO Group; City of Westminster; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A prominent toy manufacturer in the UK is seeking an Analytics & Insights Partner to lead data-driven growth in the Western European region. In this role, you will analyze business intelligence data to inform key decisions and optimize performance. We're looking for candidates with expertise in SQL, Python, and visualization tools, as well as a deep understanding of commercial strategies. Join us to inspire creativity and impact business objectives through analytics.

Benefits

Family Care Leave

Life and disability insurance

Wellbeing resources

Generous colleague discount

Bonus scheme

Hybrid work policy

Qualifications

• Expertise in SQL, Python, and visualization tools.
• Strong understanding of data platforms and statistical modeling.
• Ability to create data-driven narratives that align with business.

Responsibilities

• Analyze business intelligence data to inform decisions.
• Conduct deep-dive analysis into business performance metrics.
• Translate complex data insights into strategic narratives.

Skills

SQL

Python

Tableau

Power BI

Commercial Acumen

Tools

Snowflake

Databricks

Job description

Analytics & Insights Partnering roles act as strategic advisors, using data-driven insights to inform decisions, optimize performance, and drive commercial growth. They blend business acumen, analytical expertise, and storytelling skills to deliver actionable recommendations that address both short-term goals and long-term strategies. Data Analytics & Business Intelligence work encompasses a range of activities aimed at extracting insights from raw data to help make informed decisions. Key activities include:

Are you excited to lead our Western European Analytics & Insights function to be at the forefront of data-driven growth? Take your next career step at the LEGO Group!

Responsibilities

• 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 modeling 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
• 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
• Collaborate 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 organizational goals
• Lead a team
• Independently handle conflicts in negotiation
• Manage large projects or processes independently
• Work independently, recognized subject matter expert, able to lead others, tasks are independently identified and defined

Qualifications

• 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 behavior 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
• Expertise with Big Data Tools & Platforms: Strategically evaluates and optimizes 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

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 our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity
• 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
• Workplace – When you join the team you’ll be assigned a primary workplace location (one of our office, store or factory). Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process
• Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong

Equal Employment Opportunity

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage 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.

The LEGO Group is fully 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.