Senior Pharmaceutical Data Analyst

Placements24; Sandton; Hybrid; ZAR 900.000 - 1.250.000; Vollzeit

Benefits dieser Stelle

Health benefits and retirement

Remote work option

Professional development

State-of-the-art analytics tools

Networking near Sandton

Zusammenfassung

Placements24 is seeking a Senior Pharmaceutical Data Analyst to extract insights from complex datasets across clinical trials, manufacturing, and market trends. You will translate data into actionable recommendations while collaborating with cross-functional teams in a primarily remote setting with periodic in-person sessions near Sandton.

The ideal candidate has a Master’s or PhD, 5+ years in data analysis, and strong skills in R/Python/SAS, SQL, and data visualization tools such as Tableau or

Qualifikationen

• Advanced degree in a quantitative field with research exposure.
• 5+ years in data analysis, preferably pharma/healthcare.
• Proficient in R, Python or SAS and SQL databases.

Aufgaben

• Analyze large datasets from clinical trials, R&D and manufacturing.
• Develop statistical models to identify trends and correlations.
• Create data visualizations and reports for stakeholders.
• Provide data-driven insights to support decisions and strategy.
• Collaborate with data scientists, researchers and engineers.

Kenntnisse

R

Python

SAS

SQL

Tableau

Power BI

Statistical modeling

Hypothesis testing

Experiment design

Data visualization

Ausbildung

Master's or PhD in Statistics/Data Science/CS/Math/Economics or related

Tools

R Studio

SQL Server

Jobbeschreibung

About the Role

Our client, a leading pharmaceutical company focused on innovation and data-driven decision-making, is seeking a Senior Pharmaceutical Data Analyst to join their team. This position, primarily remote but with potential for occasional collaboration sessions, will be integral to extracting actionable insights from complex datasets related to clinical trials, manufacturing processes, and market trends. The ideal candidate will possess advanced analytical skills, a strong understanding of statistical methodologies, and proficiency in data visualization tools. You will play a key role in supporting strategic initiatives, optimizing operational efficiency, and driving research and development efforts by translating raw data into meaningful information. This role offers an exciting opportunity to leverage data analytics to influence key decisions within the pharmaceutical sector, contributing to advancements in healthcare from wherever you are based, with proximity to Sandton, Gauteng for any required in-person interactions.

Key Responsibilities

• Analyze large and complex datasets from clinical trials, R&D, manufacturing, and commercial operations.
• Develop and implement statistical models and algorithms to identify trends, patterns, and correlations.
• Create compelling data visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Support decision-making processes by providing data-driven insights and recommendations.
• Collaborate with cross-functional teams, including data scientists, researchers, engineers, and marketing professionals.
• Ensure data integrity, accuracy, and consistency across various data sources.
• Develop dashboards and key performance indicators (KPIs) to monitor operational performance and project progress.
• Stay abreast of advancements in data analytics, machine learning, and statistical methodologies.
• Identify opportunities for process improvement through data analysis.
• Contribute to the development and maintenance of data management systems and best practices.

Requirements

• Master's degree or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, 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 statistical programming languages such as R, Python, or SAS.
• Strong experience with SQL and database management.
• Expertise in data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of statistical modeling, hypothesis testing, and experimental design.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex findings clearly.
• Ability to work independently and manage projects effectively in a remote setting.
• Familiarity with pharmaceutical data (e.g., clinical trial data, manufacturing data) is a plus.

Benefits

• Our client offers a highly competitive salary and a comprehensive benefits package, including health, retirement, and generous paid time off.
• This role offers significant flexibility with a remote work arrangement.
• Opportunities for continuous learning and professional development are emphasized.
• Employees will work with cutting-edge data analytics tools and contribute to strategic decision-making in a dynamic pharmaceutical environment.
• The proximity to Sandton, Gauteng allows for optional networking and in-person collaboration when beneficial.