Pharmaceutical Data Analyst

Placements24; Noord-Kaap; Hybrid; ZAR 420,000 - 680,000; Full time

Benefits offered by this job

Fully remote work

Health, dental, and vision insurance

Generous paid time off

Professional development opportunities

Job summary

Placements24 is seeking a highly analytical Pharmaceutical Data Analyst to support operations in a fully remote setup across South Africa. The role focuses on extracting, analyzing, and interpreting complex datasets from clinical trials, sales, and research, informing strategic decisions.

You will develop dashboards, perform statistical analyses, monitor KPIs, and collaborate with R&D teams to optimize study design and product development pathways.

Qualifications

• Bachelor's degree in statistics, mathematics, computer science, bioinformatics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst in pharma or life sciences.
• Proficiency in SQL, Python (Pandas, NumPy), R.
• Experience with Tableau and Power BI for data visualization.
• Strong knowledge of statistical methods and data privacy compliance.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and transform large datasets from clinical trials, sales, and research databases.
• Perform statistical analysis to identify trends, patterns, and correlations in pharmaceutical data.
• Develop and maintain data visualizations, dashboards, and reports to communicate findings to stakeholders.
• Support research and development teams by providing data-driven insights for study design and analysis.
• Monitor KPIs related to drug development and market performance.
• Ensure data integrity, accuracy, and adherence to data privacy regulations.

Skills

SQL

Python

R

Tableau

Power BI

Statistics

Communication

Education

Bachelor's in a quantitative field

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Pharmaceutical Data Analyst to join their team, supporting operations in the Kimberley area with a fully remote setup. This role is vital for extracting, analyzing, and interpreting complex datasets related to drug development, clinical trials, and market performance. You will provide critical insights that inform strategic decision-making, optimize research efforts, and improve product development pathways. This is an excellent opportunity for a data-driven professional to contribute to meaningful advancements in the pharmaceutical sector through rigorous analysis and insightful reporting.

Key Responsibilities

• Collect, clean, and transform large datasets from various sources, including clinical trials, sales, and research databases.
• Perform statistical analysis to identify trends, patterns, and correlations in pharmaceutical data.
• Develop and maintain data visualizations, dashboards, and reports to communicate findings to stakeholders.
• Support research and development teams by providing data-driven insights for study design and analysis.
• Monitor key performance indicators (KPIs) related to drug development and market performance.
• Ensure data integrity, accuracy, and adherence to data privacy regulations.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Bioinformatics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably within the pharmaceutical or life sciences industry.
• Proficiency in data analysis tools such as SQL, Python (Pandas, NumPy), R, or similar.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical methods and their application to complex datasets.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Competitive annual salary with potential for performance-based bonuses.
• Fully remote work arrangement providing maximum flexibility and work-life balance.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and company holidays.
• Opportunities for professional development and training in data analytics and pharmaceutical sciences.