This position involves managing product master data, ensuring its accuracy, and providing analytical insights to support sales and marketing efforts. The ideal candidate will have a strong analytical background, experience in data analysis, and a good understanding of the pharmaceutical or related industry.
Key Responsibilities:
- Data Management: Manage and maintain large datasets of product information, ensuring accuracy and consistency.
- Analytical Support: Provide data-driven insights to support sales and marketing strategies.
- Reporting and Analysis: Prepare reports and conduct analysis to identify trends, patterns, and opportunities for improvement.
- Problem Solving: Use data to identify and solve problems, contributing to the overall success of Bayer's sales efforts.
- Collaboration: Work with cross-functional teams to understand business needs and provide data-driven recommendations.
Required Skills and Experience:
- Analytical Skills: Strong analytical and problem-solving skills are essential.
- Data Analysis: Experience in collecting, processing, and analyzing data, preferably with experience using statistical software or tools.
- Data Management: Experience managing and maintaining large datasets.
- Industry Knowledge: Familiarity with the pharmaceutical industry or related sectors is a plus.
- Communication Skills: Excellent communication and presentation skills are needed to effectively share findings with stakeholders.
Work Location/ Schedule: Taguig City, Monday to Friday - Hybrid Arrangement
Job Type: Full-time
Benefits:
- Additional leave
- Company Christmas gift
- Company events
- Health insurance
- On-site parking
- Opportunities for promotion
- Pay raise
- Promotion to permanent employee
Schedule:
- 8 hour shift
- Day shift
- Monday to Friday
Supplemental Pay:
- 13th month salary
- Anniversary bonus
- Yearly bonus
Ability to commute/relocate:
- Taguig: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):
- What CRM tools/ data analysis tools are you familiar with?
- How soon can you start?
- How much is your expected salary?
Education:
- Bachelor's (Preferred)
Experience:
- Data analysis: 3 years (Preferred)
- Sales analysis: 3 years (Preferred)
Work Location: In person
Report job
