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Data Analyst (m/f/d) - Data for Operations - Job Opportunity at L'Oreal

Düsseldorf, Germany
Full-time
Mid-level
Posted: June 19, 2025
On-site
€55,000 - €70,000 per year based on the mid-level experience requirement, German market conditions for data analysts, and L'Oreal's position as a premium global employer. The salary range reflects the specialized supply chain focus and the combination of technical and business skills required.

Benefits

Permanent employment contract in a crisis-resistant, growing market providing exceptional job security in an industry known for consistent demand regardless of economic conditions
Comprehensive range of social benefits offering extensive support for work-life balance and employee wellbeing beyond standard market offerings
Attractive and competitive remuneration package ensuring compensation aligns with industry standards and recognizes professional value
Voluntary profit-sharing scheme providing direct participation in company success and additional income potential based on business performance
Individual personal and professional development opportunities with structured learning paths and skill advancement programs
Strong learning curve and mentorship culture fostering rapid professional growth and knowledge acquisition
Open, cooperative corporate culture promoting collaboration, innovation, and employee engagement
Diverse national and international development perspectives offering global career mobility and cross-cultural experience opportunities

Key Responsibilities

Drive strategic data-driven decision-making across critical business functions including Supply Chain, Demand Planning, and Finance, directly impacting DACH region business performance and operational efficiency
Lead the development and implementation of advanced reporting and visualization solutions that transform raw data into actionable business intelligence for executive decision-making
Spearhead the integration and rollout of new Zone and Global data products, ensuring seamless adoption and maximizing organizational value from technology investments
Architect and maintain sophisticated data analysis frameworks using SQL-based BI tools and Power BI, creating automated reporting systems that reduce manual effort and increase accuracy
Establish and nurture strategic stakeholder relationships across Supply Chain functions, translating complex business requirements into tailored data solutions that generate measurable value
Contribute to the strategic development and execution of the DACH data roadmap, influencing the future direction of data capabilities and organizational digital transformation
Design and optimize data engineering pipelines ensuring high-quality data processing and accessibility, directly supporting business continuity and operational excellence
Champion data literacy and adoption across the organization through knowledge sharing, training programs, and consultative support, expanding the company's data-driven culture

Requirements

Education

Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Supply Chain Management, Data Analytics)

Experience

2-4 years of proven experience in data analysis within a Supply Chain environment

Required Skills

Proficiency in SQL and Python (or similar scripting language) Experience with MDX and DAX Practical experience with GCP and the Microsoft BI stack (Power Query, Power Automate, Excel) Experience with BigQuery Strong visual design skills for creating information-rich, easy-to-understand reports using tools like Power BI or Looker Good understanding of relational and non-relational database models Strong analytical and problem-solving skills High degree of customer focus and a hands-on mentality Fundamental project management skills, including project planning, task prioritization, and communication Effective stakeholder management skills Proficient in English German language skills
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Sauge AI Market Intelligence

Industry Trends

The beauty and cosmetics industry is experiencing a significant digital transformation, with companies increasingly adopting Beauty-Tech solutions that combine traditional beauty products with advanced technology platforms. This trend is driving demand for data analysts who can bridge the gap between beauty industry knowledge and technical expertise, particularly in supply chain optimization and consumer behavior analysis. Supply chain analytics has become critical in the post-pandemic era, with companies investing heavily in predictive analytics, demand forecasting, and real-time visibility solutions. Organizations are prioritizing professionals who can work with complex supply chain data from multiple systems like SAP, FutureMaster, and Manhattan to optimize operations and reduce costs. The integration of cloud platforms, particularly Google Cloud Platform (GCP) and Microsoft's ecosystem, is accelerating across enterprise environments. Companies are seeking analysts who can leverage these platforms for advanced analytics, real-time reporting, and scalable data processing solutions that support global operations.

Role Significance

Typically part of a 5-8 person regional data team within a larger global data organization, with direct collaboration across Supply Chain, Finance, and Operations teams totaling 15-20 key stakeholders across the DACH region.
This is a mid-level individual contributor role with significant strategic impact, requiring independent decision-making and direct stakeholder management. The position carries substantial responsibility for driving data-driven decisions across multiple business functions and influencing the regional data strategy.

Key Projects

Implementation of predictive demand forecasting models that integrate multiple data sources to improve inventory optimization and reduce stockouts Development of real-time supply chain visibility dashboards that provide executive-level insights into operations performance and bottlenecks Migration and integration of legacy reporting systems to modern cloud-based platforms as part of digital transformation initiatives Creation of automated financial reporting systems that support monthly and quarterly business reviews with senior leadership

Success Factors

Deep understanding of supply chain processes combined with strong technical skills in data engineering and visualization, enabling the translation of complex business requirements into effective technical solutions Exceptional stakeholder management abilities to navigate multiple business functions and build consensus around data-driven initiatives while managing competing priorities and timelines Proven ability to work independently while contributing to team objectives, demonstrating both self-direction in problem-solving and collaborative skills in cross-functional projects Strong communication skills to present complex analytical findings to both technical and non-technical audiences, ensuring data insights drive actual business decisions and strategic changes

Market Demand

High demand driven by the critical need for supply chain optimization in the beauty industry, the scarcity of professionals with both data engineering skills and supply chain domain expertise, and the ongoing digital transformation initiatives across consumer goods companies.

Important Skills

Critical Skills

SQL and Python proficiency are essential for data manipulation, analysis, and automation tasks that form the core of daily responsibilities. These skills enable the extraction of insights from complex datasets and the creation of automated reporting solutions that drive business efficiency. Supply chain domain knowledge is critical for understanding the business context behind data patterns and for communicating effectively with stakeholders across operations functions. This expertise enables the translation of data insights into actionable business recommendations. Power BI and data visualization skills are fundamental for creating compelling, executive-ready reports and dashboards that influence strategic decision-making across the organization. Stakeholder management capabilities are crucial for success in this role, as the analyst must work across multiple business functions and build consensus around data-driven initiatives while managing competing priorities.

Beneficial Skills

Google Cloud Platform experience positions candidates for future cloud migration projects and advanced analytics initiatives that leverage cloud-native technologies German language skills significantly enhance effectiveness in the DACH market, enabling better stakeholder relationships and deeper understanding of local business dynamics Project management capabilities support the successful delivery of complex data initiatives and the coordination of cross-functional teams during system implementations MDX and DAX knowledge provides advanced analytical capabilities for complex business intelligence scenarios and sophisticated financial modeling requirements

Unique Aspects

The role combines supply chain domain expertise with advanced data engineering skills, creating a unique position that bridges traditional operations with modern data science capabilities
Direct involvement in the rollout of global data products provides exposure to enterprise-scale technology implementations and change management processes
Working within the beauty industry offers the opportunity to analyze consumer behavior patterns and market trends in a dynamic, fashion-forward environment
The position includes both technical implementation and strategic planning responsibilities, providing a comprehensive view of how data analytics drives business decisions at a global scale

Career Growth

Typical progression to senior-level roles within 2-4 years given the strong foundation in both technical skills and business domain knowledge, with potential for management roles within 4-6 years.

Potential Next Roles

Senior Data Analyst or Lead Data Analyst positions within 2-3 years, taking on larger regional or global responsibilities Data Science roles focusing on advanced analytics and machine learning applications in supply chain optimization Business Intelligence Manager or Data Analytics Manager positions leading teams and setting strategic direction Supply Chain Analytics Specialist roles combining domain expertise with advanced analytical capabilities

Company Overview

L'Oreal

L'Oreal is the world's largest cosmetics company with over 86,000 employees across 150+ markets, positioning itself as a Beauty-Tech pioneer that combines traditional beauty expertise with cutting-edge technology solutions. The company has a strong commitment to digital transformation and sustainability initiatives, making it an attractive employer for professionals seeking to work at the intersection of beauty, technology, and data analytics.

As the global leader in the beauty industry, L'Oreal offers exceptional stability and growth opportunities, with consistent investment in technology and data capabilities. The company's strong financial performance and market position provide job security and resources for professional development that smaller companies cannot match.
The DACH region (Germany, Austria, Switzerland) represents one of L'Oreal's key European markets, with significant operations in Düsseldorf serving as a regional hub. This positioning offers exposure to both local market dynamics and global company initiatives, providing valuable international business experience.
L'Oreal emphasizes a culture of learning, personal development, and entrepreneurship, with strong support for employee growth and career advancement. The company's commitment to diversity and inclusion, combined with its innovative approach to beauty-tech, creates an environment that attracts top talent and encourages creative problem-solving.
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