Job Title Senior Manager, Custom Analytics Engineer

Division: IT, Data

Location: Hudson Yards

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, our IT teams design and build solutions to ensure high performance for all our business sectors by imagining new ways of doing things, from designing websites to building algorithms and predicting new trends. They can be found leading teams towards a more connected and digitalized future in IT retail, e-commerce, CRM, data, AI, cybersecurity, Cloud and E-Marketing. You never stop learning at L'Oréal IT because things change at the speed of light! Come join our dynamic team!

What You Will Do:

We are seeking a Custom Analytics Engineer to join our team and help us develop cutting-edge data and analytics solutions. This role resides within the Data & Analytics group and the ideal candidate will have a deep understanding of business intelligence (BI). The successful candidate will have the ability to develop innovative solutions that help our business gain valuable insights from their data. While technical prowess is essential, the incumbent must also possess a business-oriented mindset, collaborating effectively with key stakeholders, including upper management.

This role is at the forefront of driving the Enterprise BI transformation by modernizing our Business Intelligence suite.

• Develop and deploy BI and analytics solutions to extract actionable insights from data
• Design and implement architectures for data collection, storage, and analysis
• Design and implement advanced analytics solutions, such as predictive analytics and forecasting
• Provide thought leadership, strategic direction, and vision for the business intelligence program.
• Formulate and communicate a comprehensive business intelligence strategy, collaborating with senior leadership to identify and address key business opportunities through data analysis.
• Ensure governance for Enterprise BI deployments.
• Design, construct, and deploy Power BI solutions, including dashboards and reports, adhering to best practices for information communication.
• Create clean and efficient data sets, modeling data in a manner that empowers end-users to answer their own questions.
• Collaborate with business owners and business analysts to understand requirements and translate them into insightful visualizations.
• Research and stay current on new trends and technologies in data and analytics

What We Are Looking For:

Required Qualifications:

• Over 7 years of experience in Business Intelligence and/or Data Analytics, with a track record of leading BI initiatives and projects, particularly involving Power BI.
• Proficiency in developing, maintaining, and enhancing dashboards using Power BI and other BI tools.
• Extensive experience in Data Visualization, multiple DBMS, and Data Warehouses.
• Self-reliant, capable of managing projects end-to-end, particularly those with medium-term issues.
• Skilled in collecting, organizing, and tracking requirements.
• Strong analytical skills, particularly in data analysis.
• Familiarity with relational database concepts and data warehousing principles.
• Background in using a Git-based code repository.
• Exceptional project management skills with keen attention to detail, accuracy, and deadlines.
• Proficient in analytical, problem-solving, and critical-thinking skills, with the ability to translate data insights into actionable business recommendations.
• Excellent communication and interpersonal skills, capable of collaborating with cross-functional teams and presenting complex ideas to non-technical stakeholders.
• Proven ability to generate reports from existing databases, data lakes, data marts, and non-relational data sources, reconciling data across multiple source systems.
• Comfortable in a dynamic, fast-paced, Agile, and matrix work environment.
• Experience with Analytics/Visualization tools such as PowerBI, Looker, Tableau.
• Knowledge of implementing security and Identity and Access Management (IAM) requirements.
• Experience in developing proof of concepts and prototypes with Generative AI capabilities and innovative virtual agent solutions, utilizing large language model capabilities to facilitate digital transformation for customers and partners.

Join us in shaping the future of beauty through cutting-edge technology and analytics. Be part of a dynamic team dedicated to innovation and excellence in every facet of our business.

What’s In It For You:

• Salary Range: $119,900-$170,800 (The actual compensation will depend on a variety of job-related factors which may include geographic location, work experience, education, and skill level)
• Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan)
• Hybrid Work Policy (3 Days in Office, 2 Days Work from Home)
• Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!)
• Access to Company Perks (VIP Access to L’Oréal’s Internal Shop for Discounted Products, Monthly Mobile Allowance)
• Learning & Development Opportunities (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!)
• Employee Resource Groups (Think Tanks and Innovation Squads)
• Access to Mental Health & Wellness Programs

Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!

We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.

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