Business Analyst

L'Oréal; Dubai; On-site; AED 60,000 - 80,000; Full time

Job summary

A leading beauty tech company is seeking a Data Analyst to optimize their medical advocacy program. The successful candidate will develop data products and provide statistical modeling solutions. Responsibilities include managing Veeva CRM, sourcing data, and collaborating on product launches. Candidates should possess a bachelor's degree in related fields and have experience in data analytics. Proficiency in Python, SQL, and data science frameworks is essential. This role offers exciting opportunities in a dynamic environment.

Qualifications

• Bachelor degree holder in related discipline.
• Experience in scoping business analytics solutions.
• Experience with data science frameworks and deep learning frameworks.

Responsibilities

• Implement and manage Veeva CRM.
• Source and analyse data for the division.
• Explore and choose the best performing algorithms.
• Collaborate with stakeholders for model/product launch.

Skills

Strong mathematical and statistical knowledge

Professional experience in advanced data analytics

Strong business acumen and analytical skill

Good interpersonal skills

Education

Bachelor Degree in Sciences, Sales, Marketing, Finance, Business Computer Science, Machine Learning, Mathematics, Statistics

Tools

Veeva

Power BI

MS Excel

Python/R

SQL

Scikit-learn

Keras

Pytorch

Job description

At L’Oréal, there is never a dull day, the beauty lies in the freedom to go beyond with our empowering entrepreneurial culture. We take pride in developing talents who have the passion and ambition to make an impact in the beauty industry.

As the leading beauty tech company, we are continuing to invest in being at the forefront of the digital revolution, as we further build our Data & Analytics capability in GCC, offering endless exciting career opportunities.

Join us on our mission to: Create the beauty that moves the world.

Report into the Medical Director and Commercial Trasnformation & Business Development Director. In your role, you will turn business challenges into opportunities to create world class data products/statistical modelling/analytics solutions to tackle them. As the Data Analyst in L’Oreal Dermatological Beauty, you are responsible for the division’s data analytics roadmap with a particular focus on optimising the division’s medical advocacy program. You will have a critical role working with our stakeholders to make precision recommendations to the business.

Responsibilities

• Implement and manage Veeva CRM (CRM system for healthcare professionals)
• Support in scoping of the business problem and identifying the best model/analysis/solution
• Source and analyse data for the division
• Explore and choose the algorithms which have best performance
• Develop, train and finetune the model
• Collaborate with stakeholders on model/product launch communication, training, enablement and ongoing product adoption tactics, where applicable.
• Support and champion, where applicable, ongoing initiatives driving data analytics culture
• Act as a subject matter expert and provide guidance to the team. This includes (but not limited to)
  • Knowing which sources of data to explore
  • Identifying and communicating the key trends, data limitations
  • Support scoping of the business problem so that the project team can determine the best model/analysis/solution
  • Assess reasonability of the data and/or model prior to sharing with the key business stakeholders

Requirements

• Bachelor Degree holder in related discipline, Sciences, Sales, Marketing, Finance, Business Computer Science, Machine Learning, Mathematics, Statistics or an aligned Data/Systems field
• Strong mathematical and statistical knowledge
• Professional experience in advanced data analytics
• Experience in scoping business analytics solutions and stakeholder management
• Experience with data science frameworks (e.g. Scikit-learn/Pandas etc.) and deep learning frameworks (e.g. Keras/Pytorch etc.)
• Preferred but not essential: GCP certification (or other cloud platforms), DAX
• Proficient with Veeva, Power BI, MS Excel and Powerpoint, Python/R, advanced ML/AI algorithms, SQL, optimization
• Strong business acumen and analytical skill, good interpersonal skill.