Senior Pharma Data Analyst: Insights & Forecasting

Placements24; East London; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Medical aid

Retirement fund contributions

Generous paid time off

Job summary

Placements24 is seeking a Senior Pharmaceutical Data Analyst to join our analytics team in East London, Eastern Cape. You will transform complex pharmaceutical data into actionable insights for R&D, Manufacturing, and Commercial operations.

The role requires 5+ years in data analysis, proficiency in R, Python, SAS, and experience with Tableau/Power BI. Strong communication and stakeholder engagement are essential as you build dashboards and forecasting tools.

Qualifications

• Bachelor's or master's in a quantitative field.
• Minimum 5 years of data analysis experience in pharma/biotech.
• Proficiency in R, Python, SAS.
• Experience with Tableau or Power BI.
• Strong problem-solving and communication skills.

Responsibilities

• Collect, clean, and transform large pharmaceutical datasets.
• Perform statistical analysis to identify trends and correlations.
• Develop dashboards and reports using Tableau/Power BI.
• Interpret data for technical and non-technical stakeholders.
• Collaborate with cross-functional teams to meet data needs.
• Identify opportunities for process improvements through analytics.
• Develop predictive models and forecasting tools where applicable.
• Ensure data accuracy, integrity and governance adherence.
• Stay updated on data analysis techniques and pharma trends.

Skills

Data analysis

Statistical software

Tableau

Power BI

R/Python/SAS

Education

Bachelor's or Master's in Statistics/Data Science/Math

Tools

Tableau

Power BI

R

Python

SAS

Job description

Placements24 is seeking a Senior Pharmaceutical Data Analyst to join our analytics team in East London, Eastern Cape. You will transform complex pharmaceutical data into actionable insights for R&D, Manufacturing, and Commercial operations.

The role requires 5+ years in data analysis, proficiency in R, Python, SAS, and experience with Tableau/Power BI. Strong communication and stakeholder engagement are essential as you build dashboards and forecasting tools.