Lead Pharmaceutical Data Analyst - Remote

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Generous PTO

Remote-friendly culture

Analytics tools access

Job summary

Placements24 seeks a Lead Pharmaceutical Data Analyst to join its fully remote team. The role guides a team of analysts, develops data strategies, and implements advanced analytical techniques to support critical business decisions.

The ideal candidate will be a master of data interpretation with strong leadership skills, thriving in a remote-first environment to drive data-driven innovation and efficiency across the organization.

Qualifications

• Master's degree in Data Science, Statistics, CS, Economics, or related quantitative field.
• Minimum of 7 years of experience in data analysis, with at least 3 years in a leadership or supervisory role within pharma/biotech.
• Expertise in statistical modeling, machine learning, data mining, and data visualization tools (Python, R, SQL, Tableau).
• Proven ability to translate complex data findings into clear, actionable business recommendations.
• Excellent communication and remote team management skills.

Responsibilities

• Lead and mentor a team of pharmaceutical data analysts, overseeing project assignments and professional development.
• Develop and implement advanced analytical models and strategies to extract insights from large datasets.
• Collaborate with cross-functional teams (R&D, Clinical Ops, Marketing) to define data requirements and deliver analytical solutions.
• Design and maintain dashboards and reports to track KPIs and present findings to senior management.
• Ensure data integrity, accuracy, and compliance with industry standards and privacy regulations.

Skills

Statistical modeling

Machine learning

Data mining

Data visualization

Python

R

SQL

Tableau

Education

Master's degree in quantitative field

Tools

SQL Server

Job description

About the Role

Our client is seeking an experienced and forward-thinking Lead Pharmaceutical Data Analyst to join their fully remote team. This leadership role is instrumental in deriving actionable insights from complex datasets across pharmaceutical research, development, and commercial operations. You will guide a team of analysts, develop data strategies, and implement advanced analytical techniques to support critical business decisions. The ideal candidate is a master of data interpretation, possesses strong leadership capabilities, and thrives in a remote-first environment, driving data-driven innovation and efficiency across the organization.

Key Responsibilities

• Lead and mentor a team of pharmaceutical data analysts, overseeing project assignments and professional development.
• Develop and implement advanced analytical models and strategies to extract meaningful insights from large, complex datasets.
• Collaborate with cross-functional teams (R&D, Clinical Operations, Marketing) to define data requirements and deliver analytical solutions.
• Design and maintain dashboards and reports to track key performance indicators and present findings to senior management.
• Ensure data integrity, accuracy, and compliance with relevant industry standards and privacy regulations.

Requirements

• Master's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Minimum of 7 years of experience in data analysis, with at least 3 years in a leadership or supervisory role within the pharmaceutical or biotech industry.
• Expertise in statistical modeling, machine learning, data mining, and data visualization tools (e.g., Python, R, SQL, Tableau).
• Proven ability to translate complex data findings into clear, concise, and actionable business recommendations.
• Excellent communication and interpersonal skills, essential for effective remote team management and stakeholder engagement.

Benefits

• Highly competitive salary and bonus package.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible remote working arrangements.
• Access to cutting-edge data analytics tools and platforms.
• A collaborative remote culture that values data-driven decision-making and professional growth.