Advanced Analytics Manager, Corporate Finance

Job Description

Drive impactful financial outcomes through data science and become a key enabler of data-driven decision-making at LEGO. In this role, you'll be part of driving advanced analytics across the Finance Organization, integrating insights into strategic decisions. Join us as an Advanced Analytics Manager and shape the future of finance!

Location can be either Billund Campus or Copenhagen Løvstræde office. Please note we do not have relocation budget for this role.

Core Responsibilities

As an Advanced Analytics Manager, you will be instrumental in developing advanced analytics models to address complex financial challenges. Your responsibilities will include:

• Identifying Analytics Opportunities: Collaborate with finance partners and the Advanced Analytics Lead to pinpoint data science opportunities that address business challenges with innovative, data-driven solutions.

• Developing Advanced Analytics Models: Lead the design, development, and deployment of advanced analytics models, ensuring integration with existing data and digital platforms.

• Supporting Strategic Decision-Making: Apply statistical models and techniques to analyze financial data, uncover trends, and predict future outcomes.

• Project Leadership: Oversee analytics projects, ensuring alignment with business goals and measurable value delivery.

Play your part in our team succeeding

You will join the Corporate Finance, Systems, Analytics, and Insights team, responsible for the accuracy and quality of all data across the Finance organization, while driving our agenda to be more digital and data driven. We are committed to using data and AI to bring value for the finance organization. This is a highly visible role within the team and central to driving our transformation to becoming data-driven and elevating our decisions with advanced analytics across the finance organization.

Do you have what it takes?

We are seeking a curious and motivated Finance Data Scientist / Advanced Analytics Manager with a solid background in data science, machine learning, and advanced analytics. The ideal candidate will have several years of experience with data science or data engineering, preferably with a master’s degree in data science/data engineering. In addition, they will have:

• Proficiency in programming languages such as Python and experience with data manipulation libraries (e.g., Pandas, NumPy).

• Strong understanding of statistical concepts and experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow).

• Strong teamwork and communication skills, with the ability to work independently when necessary.

• Experience in project management and facilitating collaboration across teams

Nice to Have:

• Finance domain knowledge, preferably with experience in Finance Data Science or Insights & Analytics or in finance partnering and FP&A roles

#LI-BL1

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.