Remote Pharmaceutical Data Analyst

Placements24

Benoni

Hybrid

ZAR 958,000 - 1,597,000

Full time

7 days ago
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Benefits offered by this job

Bonuses
Remote work with flexible hours
Health insurance
Professional development
Home office stipend

Job summary

Placements24 is seeking a highly analytical and detail-oriented Remote Pharmaceutical Data Analyst. You will collect, clean, and analyze large datasets related to pharmaceutical products, clinical trials, and market trends, delivering actionable insights to support strategic decisions across R&D, marketing, and sales.

The role is fully remote, enabling collaboration across time zones with advanced analytics tools.

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Bioinformatics, or a related quantitative field.
  • Proven experience as a Data Analyst, preferably within the pharmaceutical or healthcare industry.
  • Proficiency in Python, R, SQL for data analysis.
  • Experience with data visualization tools such as Tableau, Power BI, Looker.
  • Strong understanding of statistical concepts and methods.

Responsibilities

  • Collect, clean, and preprocess diverse pharmaceutical datasets from various sources.
  • Perform statistical analysis to identify trends, patterns, and correlations.
  • Develop and maintain dashboards to communicate findings to stakeholders.
  • Generate comprehensive reports highlighting opportunities and risks.
  • Collaborate with cross-functional teams to understand data needs and provide analytical support.
  • Ensure data accuracy and adherence to data privacy regulations.

Skills

Python
R
SQL
Statistics
Remote collaboration

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Bioinformatics, or a related quantitative field

Tools

Tableau
Power BI
Looker

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Pharmaceutical Data Analyst to join their dynamic team. This position will focus on collecting, cleaning, analyzing, and interpreting large datasets related to pharmaceutical products, clinical trials, and market trends. You will play a vital role in generating actionable insights that support strategic decision-making across various departments, including R&D, marketing, and sales. Working entirely remotely, you will collaborate with colleagues across different time zones, leveraging advanced data analytics tools and methodologies to drive business objectives.

Key Responsibilities
  • Collect, clean, and preprocess diverse pharmaceutical datasets from various sources (e.g., clinical trial databases, sales reports, market research data).
  • Perform statistical analysis to identify trends, patterns, and correlations within the data.
  • Develop and maintain data visualizations and dashboards to effectively communicate findings to stakeholders.
  • Generate comprehensive reports summarizing key insights, highlighting opportunities and risks.
  • Collaborate with cross-functional teams to understand data needs and provide analytical support.
  • Ensure data accuracy, integrity, and adherence to data privacy regulations.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Bioinformatics, or a related quantitative field.
  • Proven experience as a Data Analyst, preferably within the pharmaceutical or healthcare industry.
  • Proficiency in data analysis tools and languages such as Python (Pandas, NumPy), R, SQL, or similar.
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Strong understanding of statistical concepts and methods.
  • Excellent remote collaboration and communication skills, with the ability to work autonomously.
Benefits
  • Competitive salary and performance-based bonuses.
  • Full remote work arrangement with flexibility in working hours.
  • Comprehensive health, dental, and vision insurance coverage.
  • Opportunities for professional development, including advanced analytics training and certifications.
  • Allowance for home office setup and technology.
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