Remote Pharmaceutical Data Analyst

Placements24; Gallup (NM); Hybrid; USD 85,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Company holidays

401(k) retirement plan

Professional development

Job summary

Placements24 is seeking a highly analytical Remote Pharmaceutical Data Analyst to join our global team. You will extract, clean, analyze, and interpret complex datasets to provide actionable insights that support drug development and commercialization strategies.

You will collaborate with R&D, marketing, and regulatory affairs, build interactive dashboards with Tableau/Power BI, and ensure data accuracy, integrity, and regulatory compliance while working fully remotely.

Qualifications

• Bachelor's or Master's degree in a quantitative field (Statistics, Data Science, Bioinformatics, Economics, etc.).
• 3+ years of experience as a Data Analyst, preferably in pharma/biotech.
• Proficiency in SQL, Python (Pandas/NumPy), and R.
• Experience with dashboards: Tableau, Power BI, or Looker.
• Strong problem-solving, attention to detail, and ability to work remotely.

Responsibilities

• Collect, clean, and validate large datasets from diverse sources.
• Perform statistical analysis, data mining, and predictive modeling.
• Develop interactive dashboards and reports to visualize findings.
• Collaborate with cross-functional teams to define data requirements.
• Ensure data accuracy, integrity, and regulatory compliance.
• Conduct ad-hoc analyses to support strategic initiatives.

Skills

SQL

Python (Pandas)

Python (NumPy)

R

Tableau

Power BI

Looker

Data cleaning

Education

Bachelors/Masters in Statistics/Data Science/Bioinformatics/Economics (quantitative field)

Tools

SQL

Python

R

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Pharmaceutical Data Analyst to join their global team, working from George, Western Cape . This position plays a critical role in extracting, cleaning, analyzing, and interpreting complex pharmaceutical datasets to provide actionable insights that support strategic decision-making. You will work with various internal stakeholders, including research and development, marketing, and regulatory affairs teams, to identify trends, assess product performance, and inform future drug development pipelines. This is a fully remote opportunity for a dedicated professional who excels in data manipulation and statistical analysis within the intricate landscape of the pharmaceutical sector.

Key Responsibilities

• Collect, clean, and validate large datasets from diverse sources, including clinical trials, sales reports, and market research.
• Perform statistical analysis, data mining, and predictive modeling to identify key trends, patterns, and correlations within pharmaceutical data.
• Develop and maintain interactive dashboards and reports using business intelligence tools to visualize data and communicate findings to non-technical audiences.
• Collaborate with cross-functional teams to define data requirements and translate business questions into analytical frameworks.
• Ensure data accuracy, integrity, and compliance with industry regulations and data privacy standards.
• Conduct ad-hoc analyses to address specific business inquiries and support strategic initiatives, contributing to the optimization of drug development and commercialization strategies.

Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Bioinformatics, Economics, or a related quantitative field.
• Proven experience (3+ years) as a Data Analyst, preferably within the pharmaceutical or biotech industry.
• Strong proficiency in data analysis tools and languages such as SQL, Python (Pandas, NumPy), R, or similar.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Solid understanding of statistical methods and principles relevant to pharmaceutical research and development.
• Excellent problem-solving abilities, attention to detail, and ability to work autonomously in a remote setting.

Benefits

• Competitive annual salary with performance-based incentives.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and company holidays.
• Retirement savings plan with employer contributions.
• Professional development opportunities, including online courses and conference attendance, to stay current with data science advancements in the pharmaceutical field.