Lead Pharmaceutical Data Analyst

Placements24; Bloemfontein; On-site; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

Paid time off and holidays

Professional development and training

Retirement savings plan

Modern office facilities and tools

Collaborative work environment

Job summary

Placements24 seeks a Lead Pharmaceutical Data Analyst in Welkom, Free State to guide data strategy across R&D, trials, manufacturing, and sales. You will extract, clean, transform, and analyze complex data, building dashboards to drive senior management decisions.

You will mentor analysts, collaborate with cross-functional teams, and ensure data quality while leveraging advanced analytics and ML concepts to uncover actionable insights in the pharmaceutical landscape.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• Minimum 5 years of data analysis experience.
• At least 2 years in a lead/senior role within pharma.
• Proficiency in SQL for data extraction and manipulation.
• Strong Python or R for statistical analysis and modeling.
• Experience with Tableau or Power BI.
• Excellent communication and presentation skills.
• Ability to mentor junior analysts.

Responsibilities

• Lead design, development, and maintenance of databases and data warehouses.
• Extract, clean, and transform large datasets from diverse sources using SQL/Python/R.
• Perform statistical analysis, predictive modeling, and data mining to identify trends.
• Develop dashboards and reports using Tableau/Power BI to visualize data.
• Collaborate with R&D, clinical, manufacturing and commercial teams to understand data needs.
• Interpret results and provide actionable recommendations to stakeholders.
• Develop data quality standards and ensure data integrity across systems.
• Mentor junior analysts and contribute to team growth.
• Stay updated on new analytics methods and pharma trends.
• Present findings to technical and non-technical audiences.

Skills

Statistical analysis

Data visualization

SQL

Python

R

Communication

Project management

Education

Bachelor's or Master's in Statistics/Mathematics/CS/Economics

Tools

Tableau

Power BI

Job description

About the Role

Our client, a rapidly growing pharmaceutical company located in Welkom, Free State , is seeking a highly analytical and experienced Lead Pharmaceutical Data Analyst to spearhead their data initiatives. This critical role involves extracting, cleaning, transforming, and analyzing complex datasets from various sources within the pharmaceutical lifecycle, including R&D, clinical trials, manufacturing, and sales. The Lead Data Analyst will be responsible for developing insightful reports and dashboards, identifying trends, and providing actionable recommendations to support strategic decision-making. You will work closely with department heads and scientific teams to translate business needs into data-driven solutions. This is an exceptional opportunity to shape the data strategy of a dynamic organization and contribute significantly to its success in the competitive pharmaceutical market. The ideal candidate will possess strong statistical knowledge and expertise in data visualization tools, coupled with a deep understanding of the pharmaceutical landscape.

Key Responsibilities

• Lead the design, development, and maintenance of complex databases and data warehousing solutions.
• Extract, clean, and transform large, complex datasets from diverse sources using SQL, Python, or R.
• Perform statistical analysis, predictive modeling, and data mining to identify key trends, patterns, and insights.
• Develop and maintain interactive dashboards and reports using business intelligence tools (e.g., Tableau, Power BI) to visualize data and communicate findings.
• Collaborate with R&D, clinical, manufacturing, and commercial teams to understand their data needs and provide analytical support.
• Interpret analytical results and provide clear, concise, and actionable recommendations to stakeholders and senior management.
• Develop and implement data quality standards and ensure data integrity across all systems.
• Mentor and guide junior data analysts and contribute to the team's technical growth.
• Stay abreast of the latest advancements in data analytics, machine learning, and pharmaceutical industry trends.
• Present findings and insights to both technical and non-technical audiences effectively.

Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with at least 2 years in a lead or senior role within the pharmaceutical industry.
• Proficiency in SQL for complex data extraction and manipulation.
• Strong programming skills in Python or R for statistical analysis and data modeling.
• Demonstrated experience with data visualization tools such as Tableau, Power BI, or similar.
• Solid understanding of statistical concepts, machine learning algorithms, and experimental design.
• Experience with pharmaceutical data sources (e.g., clinical trial data, manufacturing data, sales data) is highly desirable.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to convey complex information clearly.
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously in Welkom, Free State .

Benefits

• Competitive salary package commensurate with experience and qualifications.
• Comprehensive health, dental, and vision insurance.
• Paid time off and company holidays.
• Opportunities for professional development and advanced training in data science.
• Retirement savings plan with company matching.
• Access to modern office facilities and advanced analytical tools.
• A collaborative and innovative work environment in Welkom, Free State .