At the company, 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, further building our Data & Analytics capability in the GCC and offering endless exciting career opportunities.
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In this role, you will report to the Medical Director and the Commercial Transformation & Business Development Director. As the Data Analyst in the company Dermatological Beauty, you will be responsible for the division’s data analytics roadmap, with a particular focus on optimizing the division’s medical advocacy program. Your critical role will involve working with stakeholders to make precision recommendations to the business.
Responsibilities:
- Implement and manage Veeva CRM (CRM system for healthcare professionals).
- Support the scoping of business problems and identifying the best models/analyses/solutions.
- Source and analyze data for the division.
- Explore and select the algorithms that offer the best performance.
- Develop, train, and fine-tune analytical models.
- Collaborate with stakeholders on model/product launch communication, training, enablement, and ongoing product adoption tactics.
- Champion ongoing initiatives driving a data analytics culture.
- Act as a subject matter expert and provide guidance to the team, including exploring data sources, identifying key trends, and assessing data/model reasonability.
Requirements:
- Bachelor’s degree in a 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.
- Familiarity with data science frameworks (e.g., Scikit-learn/Pandas) and deep learning frameworks (e.g., Keras/PyTorch).
- 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, and optimization.
- Strong business acumen and analytical skills, along with good interpersonal skills.
Language Requirements:
[No specific language requirements mentioned.]
