Data Analyst

The world leader in cosmetics, L’Oréal is present in 150 countries on five continents. Our 35 international brands have allowed us to devote ourselves solely to one business: beauty, with a mission to provide the best in cosmetics innovation to all globally. Our ambition is to win over another one billion consumers around the world by inventing the cosmetic products that meet the infinite diversity of their needs and desires through continued digital innovation. L’Oréal supports diversity and sustainable, ethical sourcing for all our products, and we have reduced our emissions by approx. 50% since 2005.

L’Oreal has a long history rooted in Responsibility, with L’Oreal for the Future program launched in 2020, we have a taken on an even greater responsibility and believe that companies can be part of the solution to the environment challenges the world is facing.

With our business model transforming towards O+O, digital transformation is one of the key business drivers. Given the business dynamics and complexities, having the right hold on business data is super critical. There is significant opportunity to develop enterprise-wide solutions for complex data to derive insights, improve decision making and automate processes.

In our journey, we are looking for talented individuals who can lead us on this mission.

Would you like to be a part of the adventure?

We have an opportunity for the position of Data Analyst.

As a Data Analyst within our Data & Analytics Team, you will be a crucial partner to the business. Collaborating closely with our business teams across divisions, you will leverage data to drive strategic decision-making and optimize operational efficiency.

Job Mission: Assemble and transform data into information and insights to facilitate business strategy and decision making, leveraging state of the art platforms, visualization and analytics techniques within an entity or function.

The location of the job will be Mumbai and this role reports into Data Product Owner.

Key Job Responsibilities

• Data analysis: Answer crucial business questions by analyzing the data in our data base, identify potential gaps and opportunities in our data. Validate the data accuracy vs the source systems or business expectations to guarantee our outputs to be accurate.
• Ad Hoc analysis: Accelerate opportunities in the business by proactively working with the business stakeholders to test and validate hypotheses and root cause analysis to drive business decisions
• Data Architecture & Visualization: Manage the data architecture, aggregating data from multiple sources. Develop and maintain automated dashboards and visualization templates using BI software.
• Requirements Gathering & Reporting: Collaborate with various functions and business entities to identify and define reporting and metric requirements. Develop new reports and dashboards to meet these needs.
• Business Partnership: Provide data-driven insights and analyses to support business teams in making informed decisions.
• Training & Upskilling: Provide training on new functionalities and tools to teams, fostering data literacy within the business teams.
  
  

Profile & Experience

• Bachelor's degree or higher in Information Management, Statistics, Mathematics, Computer Science, or a related field.
• 3-5 years of experience in data management or business analysis, preferably with a focus on functional business topics.
• Strong planning, organizational, and prioritization skills.
• A solutions-oriented mindset with the ability to work accurately and efficiently.
• Meticulous attention to detail.
• Experience contributing to key business projects.
• Strong analytical and problem-solving skills, with the ability to identify root causes and implement process improvements.
• Proactive and takes initiative, contributing ideas and taking ownership of responsibilities.
  
  

Physical Demands (e.g. % travel):

• Travel will be need based
  
  

L’Oréal is committed to building a diverse environment and is proud to be an equal opportunity employer. L’Oréal closely prohibits discrimination against any employee or applicant for employment because of the individual’s race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability or any other characteristic protected by law.