Remote Pharmaceutical Data Analyst

Placements24; Durban; Hybrid; ZAR 300,000 - 600,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Remote work stipend

Learning & development

Work-life balance

Job summary

Placements24 is seeking a skilled Remote Pharmaceutical Data Analyst to join our expanding operations. You will extract, interpret, and report on complex pharmaceutical data to drive strategic decision-making across functions, with a focus on drug development, clinical trials, market trends, and sales performance.

The ideal candidate is proficient in SQL, Python, R, Tableau or Power BI, and can develop dashboards, ensure data quality, and translate insights into actionable business

Qualifications

• Proven experience as a Data Analyst in pharma/healthcare.
• Strong proficiency with SQL, Python, R, Tableau or Power BI.
• Experience analyzing large datasets and applying statistical techniques.
• Excellent problem-solving and ability to translate data into insights.
• Ability to work remotely and manage projects independently.

Responsibilities

• Collect, clean, and analyze large, complex datasets related to pharmaceutical research, development, and commercial activities.
• Develop and maintain dashboards and reports to visualize KPIs and trends.
• Identify patterns, anomalies, and insights within the data to support strategic business initiatives.
• Collaborate with cross-functional teams, including R&D, marketing, and sales, to understand their data needs and provide actionable intelligence.
• Ensure data accuracy, integrity, and compliance with relevant industry standards and privacy regulations.
• Stay abreast of the latest trends and technologies in data analytics and their application within the pharmaceutical sector.

Skills

SQL

Python (Pandas/NumPy)

R

Tableau

Power BI

Data visualization

Statistics

Data analysis

Education

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

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client is seeking a skilled and analytical Remote Pharmaceutical Data Analyst to join their expanding operations, supporting teams across various locations. This role is pivotal in extracting, interpreting, and reporting on complex pharmaceutical data to drive strategic decision-making. You will work with large datasets related to drug development, clinical trials, market trends, and sales performance. The ideal candidate is highly proficient in data analysis tools and techniques, with a keen eye for detail and a passion for uncovering insights that can shape the future of pharmaceutical products and patient care, all within a fully remote work setting.

Key Responsibilities

• Collect, clean, and analyze large, complex datasets related to pharmaceutical research, development, and commercial activities.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs ) and trends.
• Identify patterns, anomalies, and insights within the data to support strategic business initiatives.
• Collaborate with cross-functional teams, including R&D, marketing, and sales, to understand their data needs and provide actionable intelligence.
• Ensure data accuracy, integrity, and compliance with relevant industry standards and privacy regulations.
• Stay abreast of the latest trends and technologies in data analytics and their application within the pharmaceutical sector.

Requirements

• Proven experience as a Data Analyst , preferably within the pharmaceutical or healthcare industry.
• Strong proficiency in data analysis and visualization tools such as SQL, Python (with libraries like Pandas, NumPy), R, Tableau, or Power BI.
• Experience working with large datasets and statistical analysis techniques.
• Excellent problem-solving skills and the ability to translate complex data into clear, concise insights.
• Ability to work independently and effectively manage projects in a fully remote environment.
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous remote work stipend for home office setup and expenses.
• Opportunities for continuous learning and professional development, including access to online courses and conferences.
• A flexible and supportive remote work culture that prioritizes work-life balance.