INSIGHTS ANALYST

Hello, we’re L’Oréal. We're not just building brands, we're shaping how the world experiences beauty (and it takes a lot of cool jobs to do it). Intrigued? Keep reading, this might be the opportunity you've been searching for.

A Day in the Life

As an Insights Analyst in our Dubai office, you will be at the heart of our data ecosystem, transforming complex data into the strategic insights that drive our business forward. You will report into the Data & Analytics team, supporting both global and local initiatives by empowering our organization with reliable, accessible, and understandable data.

In this role, you will:

• Deploy and Optimize Reporting: You will manage the implementation and maintenance of reporting solutions, ensuring they provide accurate and timely information to our business teams.
• Integrate Data Sources: You will lead the integration of various data sources into our Google Cloud Platform (GCP) environment, designing data pipelines and ensuring data quality.
• Empower the Data Community: You will foster a data-driven culture by conducting training, establishing data validation processes, and acting as a key contact for data requests.
• Drive Business Insights: You will perform in-depth analysis to identify trends and translate your findings into clear, actionable recommendations for our business partners.

We Are Looking For

You are a great match for this role if you are an analytical thinker with a talent for storytelling through data. You thrive in a collaborative, fast-paced international environment and are skilled at turning complexity into clarity. We are looking for someone with:

• A Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Business Analytics or a related discipline with proven experience in a data-focused role.
• Data Analysis & Visualization: A strong ability to perform in-depth analysis and create compelling data visualizations using tools like Power BI, Tableau, or Looker Studio.
• Technical Proficiency: Solid experience with SQL and cloud platforms (GCP is a plus), with an understanding of data engineering principles to manage data pipelines.
• Business Acumen: The ability to translate complex data findings into clear, actionable recommendations that align with strategic business goals.
• Stakeholder Management: Excellent communication skills to collaborate with and present insights to diverse technical and non-technical audiences.

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 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 on five continents. For more than a century, L’Oréal has devoted itself solely to ‘Create beauty that moves the world’; it is now the industry world leader with €42 billion consolidated sales. Together, we solve complex challenges at scale, while making sure we stay committed to making the world a more inclusive and a better place for everyone & our planet.

Today, L’Oréal includes over 9k experts in beauty tech, digital, data and e-comm and is constantly growing. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future. To achieve this ambition, L’Oréal continues to recruit diverse, innovative, skilled, and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications, and Infrastructure.

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 disabilities, socio-economic and/or multicultural origins, health conditions, age, religion, or any other characteristics protected by law.