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Remote Pharmaceutical Data Analyst

Anzeige auf Englisch

ArbeitsortSandton
+ 3 weitere
Gehalt55.000–75.000 € brutto/Jahr
HomeofficeVollständig remote

About the Role

Our client is seeking a skilled and analytical Remote Pharmaceutical Data Analyst to join their expanding team, working from anywhere within South Africa. This role is vital for extracting, analyzing, and interpreting complex data sets related to pharmaceutical research, clinical trials, and market trends. You will transform raw data into actionable insights that support strategic decision-making across various departments, including R&D, marketing, and regulatory affairs. This is an excellent opportunity for a data-driven professional to contribute to a leading pharmaceutical company while enjoying the flexibility and autonomy of a remote work arrangement, playing a key role in data-driven innovation.

Key Responsibilities

  • Collect, clean, and process large volumes of data from diverse sources, including clinical trial databases, sales records, and market research reports.
  • Perform statistical analysis to identify trends, patterns, and correlations in pharmaceutical data.
  • Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and insights for stakeholders.
  • Collaborate with cross-functional teams to understand their data needs and provide analytical support.
  • Ensure data integrity, accuracy, and compliance with relevant data privacy regulations.
  • Contribute to the development and implementation of data governance policies and procedures for pharmaceutical data.

Requirements

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Minimum of 3 years of experience as a Data Analyst , preferably within the pharmaceutical or healthcare industry.
  • Proficiency in data analysis tools and programming languages such as SQL, Python (with libraries like Pandas, NumPy), and R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and building effective dashboards.
  • Strong understanding of statistical concepts and techniques relevant to data analysis.
  • Excellent analytical, problem-solving, and communication skills, with the ability to explain complex findings to non-technical audiences.

Benefits

  • Competitive salary and potential for annual bonuses.
  • Comprehensive benefits package, including medical and retirement contributions.
  • Fully remote working arrangement with flexible hours.
  • Opportunities for professional development and certifications in data analytics.
  • A dynamic and collaborative work environment focused on leveraging data for pharmaceutical innovation.

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