Remote Pharmaceutical Data Analyst

Placements24; Soweto; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

Placements24 is seeking a Remote Pharmaceutical Data Analyst to collect, clean, and analyze large pharmaceutical datasets from clinical, sales, and market research sources. You will perform statistical analyses, build predictive models, and produce dashboards to inform R&D, marketing, and sales teams.

The ideal candidate has 3–5 years of data analytics experience in pharma or life sciences, strong Python or R skills, SQL proficiency, and a proven ability to translate complex data into actionable

Qualifications

• Requires a Bachelor’s or Master’s in a quantitative field.
• 3–5 years of Data Analyst experience in pharma/healthcare/life sciences preferred.
• Proficiency in Python (Pandas, NumPy) or R and SQL.
• Experience with data visualization tools like Tableau or Power BI.

Responsibilities

• Collect, clean, and organize large datasets from diverse sources (clinical, sales, market research).
• Perform statistical analysis and develop predictive models to support objectives.
• Generate reports, dashboards, and visualizations for stakeholders.
• Collaborate with R&D, clinical, marketing, and sales to understand data needs.
• Maintain data dictionaries, metadata, and documentation for data quality.

Skills

Statistical analysis

Data visualization

Python

R

SQL

Analytical thinking

Communication

Education

Bachelor’s or Master’s degree in Statistics/Data Science/Math/CS/Economics

Tools

Tableau

Power BI

Pandas

NumPy

Job description

About the Role

Our client, a leading pharmaceutical entity focused on advancing healthcare solutions, is looking for a dedicated and analytical Remote Pharmaceutical Data Analyst . This is a fully remote position, allowing you to contribute your expertise from anywhere in South Africa. The role involves collecting, analyzing, and interpreting large datasets related to pharmaceutical research, clinical trials, sales performance, and market trends. The Data Analyst will play a crucial role in identifying patterns, generating insights, and providing data-driven recommendations to support strategic decision-making across various departments, including R&D, marketing, and sales. This is an excellent opportunity for a data-savvy professional to make a tangible impact in the pharmaceutical sector, utilizing advanced analytical tools and techniques within a flexible, remote work setting. Your ability to transform complex data to actionable intelligence will be highly valued.

Key Responsibilities

• Collect, clean, and organize large volumes of data from diverse sources, including clinical databases, sales reports, market research, and scientific literature.
• Perform statistical analysis, identify trends, and develop predictive models to support business objectives.
• Generate comprehensive reports, dashboards, and visualizations to communicate key findings and insights to stakeholders.
• Collaborate with R&D, clinical, marketing, and sales teams to understand their data needs and provide analytical support.
• Develop and maintain data dictionaries, metadata, and documentation to ensure data quality and consistency.
• Identify opportunities for process improvements in data collection, analysis, and reporting.
• Ensure data privacy and security protocols are adhered to in all data handling activities.
• Stay abreast of the latest data analysis techniques, tools, and pharmaceutical industry trends.
• Present findings and recommendations clearly and concisely to both technical and non-technical audiences.

Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 3-5 years of experience as a Data Analyst, preferably within the pharmaceutical, healthcare, or life sciences industry.
• Proficiency in data analysis and statistical programming languages such as Python (Pandas, NumPy) or R.
• Experience with SQL for database querying and management.
• Familiarity with data visualization tools like Tableau, Power BI, or similar platforms.
• Strong understanding of statistical concepts and modeling techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to diverse audiences.
• Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.

Benefits

• Competitive salary and potential for annual performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with employer matching.
• Generous annual leave and paid time off.
• Home office setup allowance and stipends for internet and utilities.
• Opportunities for continuous learning and professional development through online courses and certifications.
• Flexible working hours and the autonomy of a fully remote role.