Director - Retailer Data Excellence

L'Oréal; Clark (NJ); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player in beauty seeks a Director of Retailer Data Excellence to lead data governance and analytics initiatives. This pivotal role involves managing enterprise analytics solutions and collaborating with major retailers to provide actionable insights. The ideal candidate will possess strong SQL skills and experience with data visualization tools like Power BI. Join a dynamic team committed to innovation and diversity, where your expertise will drive significant improvements in data quality and customer insights, ultimately enhancing the overall supply chain performance.

Benefits

Product Stipends

Employee Discounts

Wellness Programs

Development Opportunities

Flexible Work Arrangements

Qualifications

• 7-10 years of experience in strategy & analytics roles.
• Proven experience in data governance and quality management.

Responsibilities

• Develop and implement data governance frameworks for large retailers.
• Drive data quality improvement initiatives and promote data literacy.

Skills

SQL

Data Governance

Data Quality Management

Data Visualization (Power BI, Tableau)

Communication Skills

Education

Bachelor's Degree

Tools

Power BI

Excel

Tableau

SAP

Job description

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Job Title:

Director – Retailer Data Excellence

Division:

Consumer Products Division

Location:

Clark, New Jersey

Reports To:

VP, Customer Supply Chain

Who We Are

For more than a century, L’Oréal has devoted its energy, innovation, and scientific excellence solely to one business: Beauty. Our goal is to offer each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity, and responsibility to satisfy all beauty needs and desires in their infinite diversity.

At L'Oréal Operations, we create innovative, inclusive, and sustainable beauty together with our business partners by designing, developing, sourcing, manufacturing, and distributing over 6 billion products globally every year. We support over 36 brands across four L’Oréal divisions. We are consumer-oriented, and we act responsibly all along the value chain.

What You Will Do

This position supports Supply Chain collaboration initiatives for major retailers. L’Oreal CPD is looking for a passionate and focused business intelligence data engineer to join the Customer Supply Chain team, responsible for enterprise analytics solutions. This role manages an analytics workspace to support the broader customer team in providing practical and actionable insights on L’Oreal top retailers, behaviors, and key performance metrics including in-store and online availability, phantom inventory, and store tiers. The role leverages SQL, Power BI, and Excel to build, extract, analyze, and visualize data from various customer portals to understand performance and identify opportunities to drive consumption, maximize inventory, and reduce returns.

Responsibilities include:

1. Develop and implement data governance frameworks: Define policies, standards, and procedures for data management across large retailers, supporting the evolution of customer analytics with new tools and initiatives.
2. Establish and monitor data quality metrics: Identify key data quality indicators, implement profiling and monitoring processes, and ensure data accuracy, facilitating corrections as needed.
3. Drive data quality improvement initiatives: Collaborate with stakeholders to address data issues, recommend process changes, and automate data quality checks.
4. Foster a data-driven culture: Promote data literacy, provide training, and proactively analyze data to uncover insights about customer behavior and opportunities.
5. Recommend and execute analytical approaches: Increase visibility around store inventory, store tier performance, and phantom inventory; support new tools and solutions integration.
6. Research and plan for future data sources: Build models for testing and plan UAT as sources evolve.
7. Partner with Data Domain leads and IT teams, leveraging division-agnostic databases where possible.
8. Stay current with industry trends: Keep up with emerging data management technologies, best practices, and regulations.

Required Qualifications

• Bachelor’s degree required.
• 7-10 years’ experience in strategy & analytics roles.
• Proven experience in data governance and quality management programs.
• Experience with enterprise cloud databases, analytics, large datasets, and SQL/GBQ queries.
• Experience with data visualization tools (Excel, Tableau, Power BI, Looker, or similar).
• SAP system experience preferred.
• Ability to analyze performance data and communicate findings effectively.
• Proactive, results-oriented mindset with excellent communication skills.
• Strong understanding of data modeling, integration, and retailer data complexities.
• Experience in the Beauty or CPG industries is a plus.

Additional Information

We offer a comprehensive benefits package, flexible work arrangements, and employee perks including product stipends and discounts, wellness programs, and development opportunities. We are committed to diversity and inclusion and encourage candidates from all backgrounds to apply.