Sr. BI Analyst (Data Engineering)

Locations: Billund, Denmark Are you passionate about transforming data into business value? We are looking for a Sr BI Analyst (Data Engineering) to help build and evolve a modern data foundation that enables data-driven decision making across Global Supply Chain and Sales & Operations Planning. In this role, you will develop and maintain data products, data pipelines, and reporting solutions used by stakeholders across Supply Chain, Operations, Finance, Markets, and Channels. You will play a key role in establishing a new data foundation on the LEGO Data Platform using Databricks technology while helping drive enterprise-wide analytics capabilities. Core Responsibilities

• Develop and maintain data products, data flows, and reporting solutions for diverse business users.
• Build and enhance scalable data pipelines using Databricks and Power Platform technologies.
• Help establish a strong data foundation on the new LEGO Data Platform.
• Partner with supply chain and operations stakeholders to understand business needs and translate them into technical solutions.
• Ensure reliable, accessible, and high-quality data across key supply chain information domains.
• Develop reporting and analytics solutions leveraging Power BI and related technologies.
• Contribute hands-on Databricks expertise and help elevate the team's data engineering capabilities.

Do you have what it takes?

• Databricks data transformation and engineering experience.
• Data pipeline development using Databricks and/or Power Platform.
• Strong understanding of business metrics and analytics solutions.
• Experience developing end-to-end data solutions from source systems to business consumers.
• Experience with Power BI reporting and dashboard solutions.

Core Competencies

• Strong problem-solving skills.
• Critical thinking and analytical mindset.
• Adaptability and change agility.
• Growth mindset and continuous improvement approach.
• Strong collaboration and stakeholder management skills.
• Data fluency and ability to communicate insights effectively.

Nice to Have

• Data modelling expertise.
• Experience managing dashboards and reporting portfolios.
• Project prioritization experience within agile environments.

About the Team

• The Supply Chain Business Intelligence team serves as the bridge between Supply Chain business stakeholders and Digital Data Foundation teams. The team drives data integrity, translates business requirements into technical solutions, and develops reporting and analytics products that support strategic decision making.
• Working in an agile setup, the team operates in three-week sprints with regular planning, retrospectives, knowledge-sharing sessions, and stakeholder collaboration.
• Over the next 18-24 months, the team's primary focus is the establishment of a new Data Foundation in Databricks, creating an exciting opportunity to influence a transformational journey and leave a lasting impact.

What Success Looks Like

• Become a trusted contributor within the team and ways of working.
• Play an active role in developing and delivering data solutions.
• Help strengthen the organization's Databricks capabilities.
• Build strong relationships with stakeholders and earn positive feedback through effective collaboration and delivery.

Why Join Us?

• This is an opportunity to work on large-scale data transformation initiatives, partner with global stakeholders, and help shape the future of supply chain analytics through modern cloud-based data platforms and advanced BI solutions.

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible. What’s in it for you? Here is what you can expect: 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 i.e. one of our Offices, stores or factories. 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. The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. 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. Thank you for sharing our global commitment to Children’s Rights. Just imagine building your dream career. Then make it real. Join the LEGO® team today. Women in Data® advertise roles on behalf of our partners, alliances, and members. We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community. Stay connected! Follow us on LinkedIn for updates on career opportunities and more.