Senior Pharmaceutical Data Analyst

Placements24; South Africa; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Medical aid

Pension fund

Career development

Conference attendance

Job summary

Placements24 is seeking a Senior Pharmaceutical Data Analyst for a hybrid role in Pretoria, Gauteng. You will lead data-driven initiatives across clinical, sales, and manufacturing data, building models and dashboards to support strategic decisions.

With 5+ years in data analysis and strong skills in SQL, R/Python, and visualization tools, you will define KPIs, ensure data governance, and mentor junior analysts while collaborating with cross-functional teams.

Qualifications

• Degree in a quantitative field such as statistics or maths.
• 5+ years in data analysis, ideally pharma/healthcare.
• Proficient in SQL for data extraction and manipulation.
• Experience with R or Python and data visualization tools.

Responsibilities

• Collect, clean, and process large datasets from clinical trials, sales, marketing, and manufacturing.
• Develop analytical models and statistical techniques to identify trends.
• Create dashboards and reports to communicate insights to stakeholders.
• Define KPIs and tracking mechanisms for business performance.
• Collaborate with R&D, Marketing, Sales, and Operations for data needs.
• Conduct ad-hoc analyses to aid decision-making.
• Ensure data integrity and governance compliance.
• Mentor junior analysts and promote best practices.

Skills

Data analysis

SQL

R

Python

Tableau

Power BI

QlikView

ETL

Data governance

Mentoring juniors

Education

Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Tools

SQL

R

Python

Tableau

Power BI

QlikView

ETL tools

Data warehousing

Job description

About the Role

Our client, a prominent player in the pharmaceutical industry, is seeking an experienced Senior Pharmaceutical Data Analyst to join their analytical services department in Pretoria, Gauteng. This role is critical for leveraging large datasets to drive strategic decisions, improve operational efficiency, and identify opportunities for growth within the pharmaceutical market. The ideal candidate will possess a strong analytical mindset, expertise in data manipulation and visualization tools, and a solid understanding of the pharmaceutical landscape. This hybrid role offers a balance between in-office collaboration in Pretoria and remote flexibility, allowing for optimal productivity and work-life integration.

Key Responsibilities

• Collect, clean, and process large, complex datasets from various sources, including clinical trials, sales, marketing, and manufacturing.
• Develop and implement advanced analytical models and statistical techniques to extract meaningful insights and trends.
• Create compelling data visualizations, dashboards, and reports to communicate findings effectively to stakeholders at all levels.
• Identify key performance indicators (KPIs) and develop tracking mechanisms to monitor business performance within the pharmaceutical sector.
• Collaborate with cross-functional teams (e.g., R&D, Marketing, Sales, Operations) to understand their data needs and provide analytical support.
• Conduct ad-hoc analysis to address specific business questions and support decision-making processes.
• Ensure data integrity, accuracy, and adherence to data governance policies and procedures.
• Stay abreast of emerging trends and technologies in data analytics and their application in the pharmaceutical industry.
• Provide guidance and mentorship to junior data analysts, promoting best practices in data analysis and reporting.
• Contribute to the strategic direction of data utilization within the organization's Pretoria operations.

Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• A minimum of 5 years of experience in data analysis, preferably within the pharmaceutical or healthcare industry.
• Proficiency in SQL for data extraction and manipulation.
• Expertise in statistical programming languages such as R or Python.
• Experience with data visualization tools (e.g., Tableau, Power BI, QlikView).
• Strong understanding of statistical methods and modeling techniques.
• Excellent problem-solving skills and the ability to translate complex data into actionable business insights.
• Effective communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Experience with data warehousing concepts and ETL processes is a plus.
• Familiarity with pharmaceutical data sources and regulatory requirements is advantageous for this role in Pretoria .

Benefits

Our client offers a competitive salary package, comprehensive medical aid, pension fund contributions, and excellent opportunities for professional development and career progression. This hybrid role provides flexibility for employees working in Pretoria, Gauteng . Join a forward-thinking company that values data-driven insights and offers a dynamic work environment. Employees are encouraged to attend industry conferences and training programs to enhance their skills.