Highlights
Develop predictive models, automate workflows, partner with stakeholders to drive business value.
Description
Job Summary
pThis role involves developing, enhancing, and maintaining forecast models using Python. You will lead the digitalization of forecasting deliverables, conduct data analysis, partner with stakeholders to drive business value, and stay updated on industry trends.
Responsibilities
- Develop end-to-end forecast models including patient-based and scenario-driven models
- Transition manual or spreadsheet-based models into automated Python workflows
- Analyze complex data sets for insights and recommendations
- Perform statistical analyses, predictive modeling, and data mining
- Collaborate with stakeholders to develop analytical frameworks and optimize business processes
- Partner with Finance team for efficient forecasting performance
- Collect real-world data from multiple sources for strategic decision-making
Required Skills
- Data analysis techniques
- Predictive modeling methodologies
- Python programming and libraries
- MS Excel and PowerPoint proficiency
- VBA and Macros experience
Required Skills Explained
- Python expertise, particularly with libraries like pandas, NumPy, scikit-learn.
- Experience with statistical analysis and predictive modeling techniques.
- Strong experience in data visualization tools such as Tableau or Power BI.
- Demonstrated ability to work within a complex organizational environment.
- Strong verbal and written communication skills, especially for interacting with senior leadership.
Who is this for
pThis position is ideal for individuals with a strong background in analytics, forecasting, and Python programming. A degree in pharmacy, technology, or engineering is preferred.
Why This Job is a Good Opportunity
ulliOpportunity to work on meaningful projects that impact patient lives.liPotential for career growth in a supportive culture focused on innovation and urgency.liAccess to cutting-edge technologies and data science tools.liVariety of roles within a large, global organization with diverse departments.
Interview Preparation Tips
- Review Python code examples and statistical models relevant to the job description.
- Prepare case studies on successful forecasting projects you have led or contributed to.
- Be ready to discuss your experience with data visualization tools like Tableau or Power BI.
- Highlight experiences in working within complex organizational structures and collaborating with senior leadership.
Career Growth in This Role
pThis role offers a pathway for career advancement, particularly in the areas of business analysis, data science, and forecasting. As you gain experience, you may transition into more specialized roles such as Data Scientist or Senior Business Analyst. Additionally, there are opportunities to lead projects that impact broader strategic initiatives within the organization.pThe skills developed here, including proficiency in Python, statistical modeling, and data visualization, are highly transferable and can open doors to other industries beyond pharmaceuticals.
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Frequently Asked Questions
What is the salary range for this role?The annual package for this position is approximately 4 LPA.
Is experience in biopharma or pharmaceutical industry required?While not mandatory, prior experience in a similar business analyst role within the biopharma or pharmaceutical industry is preferred.
What are the main responsibilities of this position?Key responsibilities include developing forecast models, conducting data analysis, and collaborating with stakeholders to drive value for your team.
