Remote Pharmaceutical Data Analyst

Placements24; Sandton; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Flexible hours

Professional development opportunities

Medical and retirement contributions

Job summary

Placements24 is seeking a skilled Remote Pharmaceutical Data Analyst to join our expanding team from anywhere in South Africa. You will extract, analyze, and interpret complex datasets from clinical trials, sales, and market research to drive strategic decisions across R&D, marketing, and regulatory affairs.

You will build dashboards, ensure data integrity, and collaborate with cross-functional teams while adhering to privacy regulations.

Qualifications

• Bachelor's degree in a quantitative field.
• Minimum 3 years of data analysis experience, preferably in pharma/healthcare.
• Proficiency in SQL, Python (Pandas/NumPy) and R for analytics.
• Experience creating dashboards with Tableau or Power BI.
• Strong statistical knowledge and ability to communicate insights clearly.

Responsibilities

• Collect, clean, and process large data volumes from diverse sources.
• Perform statistical analysis to identify trends and correlations.
• Develop dashboards and reports to visualize KPIs for stakeholders.
• Collaborate with cross-functional teams to address data needs.
• Ensure data integrity and compliance with privacy regulations.
• Contribute to data governance policies and procedures.

Skills

Data analysis

Statistical knowledge

Communication

Problem solving

Education

Bachelor's degree in Statistics/Mathematics/CS

Tools

SQL

Python

R

Tableau

Power BI

Pandas

NumPy

Job description

About the Role

Our client is seeking a skilled and analytical Remote Pharmaceutical Data Analyst to join their expanding team, working from anywhere within South Africa. This role is vital for extracting, analyzing, and interpreting complex data sets related to pharmaceutical research, clinical trials, and market trends. You will transform raw data into actionable insights that support strategic decision-making across various departments, including R&D, marketing, and regulatory affairs. This is an excellent opportunity for a data-driven professional to contribute to a leading pharmaceutical company while enjoying the flexibility and autonomy of a remote work arrangement, playing a key role in data-driven innovation.

Key Responsibilities

• Collect, clean, and process large volumes of data from diverse sources, including clinical trial databases, sales records, and market research reports.
• Perform statistical analysis to identify trends, patterns, and correlations in pharmaceutical data.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and insights for stakeholders.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Ensure data integrity, accuracy, and compliance with relevant data privacy regulations.
• Contribute to the development and implementation of data governance policies and procedures for pharmaceutical data.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst , preferably within the pharmaceutical or healthcare industry.
• Proficiency in data analysis tools and programming languages such as SQL, Python (with libraries like Pandas, NumPy), and R.
• Experience with data visualization tools (e.g., Tableau, Power BI) and building effective dashboards.
• Strong understanding of statistical concepts and techniques relevant to data analysis.
• Excellent analytical, problem-solving, and communication skills, with the ability to explain complex findings to non-technical audiences.

Benefits

• Competitive salary and potential for annual bonuses.
• Comprehensive benefits package, including medical and retirement contributions.
• Fully remote working arrangement with flexible hours.
• Opportunities for professional development and certifications in data analytics.
• A dynamic and collaborative work environment focused on leveraging data for pharmaceutical innovation.