Nordic Data & Analytics Manager

L'oreal Usa; København; Hybrid; DKK 900,000 - 1,300,000; Full time

Benefits offered by this job

Growth opportunities

Impact across Nordics

Collaborative culture

Diversity & inclusion

Job summary

L’Oréal seeks a strategic Data Partner to accelerate its transformation across the Nordics Hub (Denmark, Sweden, Norway, Finland). You’ll translate data into compelling narratives and front-end dashboards (PowerBI) to guide commercial decisions and growth.

Reporting to the Head of Data, you will build robust SQL and Python pipelines, bridging back-end and business needs while partnering with Marketing, Commercial, Supply Chain and Finance to drive data-driven change.

Qualifications

• Educational background in a technical or analytical field.
• Fluency in English.
• Ability to translate business challenges into data-driven solutions.
• Strong storytelling to influence senior stakeholders.

Responsibilities

• Translate ambiguous business challenges into data solutions and dashboards that drive growth.
• Build robust SQL and Python pipelines and automations to support decisions.
• Partner with cross-functional leaders to manage data initiatives and drive change.
• Bridge back-end capabilities with commercial needs through front-end dashboards.

Skills

Data Analytics

Stakeholder Engagement

Change Management

Project Management

English Fluency

Education

Background in Mathematics / Economics / Engineering

Tools

PowerBI

SQL

Python

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