(2026) - LOA - Nordics - Nordic Data & Analytics Manager

L'oreal Usa; København; On-site; DKK 600,000 - 900,000; Full time

Job summary

L’Oréal is seeking a data-driven strategic partner to accelerate the Nordics Hub transformation (Denmark, Sweden, Norway, Finland). You’ll translate complex data into business narratives and shape commercial decisions through PowerBI dashboards and data pipelines.

You will use SQL and Python to build robust pipelines, collaborating with Marketing, Commercial, Supply Chain and Finance to influence senior leaders to adopt data-led strategies.

Qualifications

• Background in a technical or analytical field such as Mathematics, Economics, or Engineering.
• Fluency in English.
• Commercial acumen & influence: translate technical concepts for non-technical stakeholders and influence senior decision-makers.
• Strong foundation in SQL and front-end dashboard development; structured problem-solving.

Responsibilities

• Translate ambiguous business challenges into high-impact data solutions and front-end dashboards.
• Build robust pipelines and automations using SQL and Python to support commercial decisions.
• Partner with cross-functional leaders to manage data initiatives and drive data-driven change across the organization.

Skills

SQL

Python

PowerBI

Data Analytics

Data Governance

Project Management

Stakeholder Engagement

Change Management

Dashboard development

Education

Mathematics/Economics/Engineering background

Tools

PowerBI

Job description

Reporting directly to the Head of Data, you will act as a strategic business partner, playing a pivotal role in accelerating L’Oréal's ongoing business transformation across the Nordics Hub (Denmark, Sweden, Norway, and Finland). You won't just build technical solutions; you will translate complex data into compelling business narratives, guiding commercial decisions and shape our strategy.

Strategic Insight & Value Creation:Translate ambiguous business challenges into high-impact data solutions and front-end dashboards (PowerBI) that directly drive commercial growth and operational efficiency.

Business Transformation & Technical Execution: Leverage SQL and Python to build robust pipelines and automations, bridging the gap between technical back-end capabilities and commercial business needs.

Stakeholder Influence & Change Management:Partner closely with cross-functional leaders (Marketing, Commercial, Supply Chain, and Finance) to manage data initiatives, champion data-driven decision-making, and drive change across the organization.

We Are Looking For

• An educational background in a technical or analytical field such as Mathematics, Economics, or Engineering.
• Fluency in English.
• Commercial Acumen & Influence: Proven ability to understand business drivers, translate technical concepts for non-technical stakeholders, and influence senior decision-makers to adopt data-led strategies.
• Technical Expertise: Strong foundation in SQL and front-end dashboard development, combined with structured problem-solving skills and entrepreneurial initiative.
• 5 Core Skills: Data Analytics, Data Governance, Project Management, Stakeholder Engagement, and Change Management.

What’s In It For You

• A place for you to leave your comfort zone and grow beyond your potential (here, you’ll be encouraged to try new things and take risks!)
• Real responsibility from day 1, there’s no sitting on the sidelines at L’Oréal
• An environment where people of every ethnicity, social background, age, religion, gender and sexual orientation as well as people with disabilities are accepted, can speak up, will thrive and are celebrated!
• A place where you can contribute to something bigger! Many of our brands have societal /environmental causes to make concrete difference

Who We Are

L’Oréal is present in 150 markets. Together, we solve complex challenges at scale, while staying committed to making the world a more inclusive and better place. Today, L’Oréal includes over 9k experts in beauty tech, digital, data and e-comm.

We’re committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way. The Group strictly prohibits discrimination against any applicant for employment because of the individual’s gender identity or expression, sexual orientation, visible and/or invisible disabilities, socio-economic and/or multicultural origins, health conditions, age, religion, or any other characteristics protected by law