Remote Pharmaceutical Data Analyst

Placements24; Cape Town; Hybrid; ZAR 420.000 - 660.000; Vollzeit

Benefits dieser Stelle

Fully remote work arrangement

Health and wellness benefits

Professional development opportunities

Access to advanced analytics tools

Competitive salary aligned with market

Zusammenfassung

Placements24 is seeking a meticulous Remote Pharmaceutical Data Analyst to join our globally distributed team, supporting operations based in Cape Town. The role focuses on transforming complex pharmaceutical data into actionable insights and contributes to strategic decision-making.

The ideal candidate will handle large datasets from trials, market analytics, and sales figures, build statistical models, and create dashboards for stakeholders across time zones, delivering clear, data-driven

Qualifikationen

• Bachelor's degree in Data Science, Statistics, Bioinformatics, Pharmacy, or related quantitative field.
• Proven experience as a Data Analyst, preferably in pharma/healthcare.
• Proficiency in SQL, Python, or R for data analysis.
• Experience with Tableau or Power BI for data visualization.
• Strong analytical and remote collaboration skills.

Aufgaben

• Collect, clean, and process large pharmaceutical datasets from trials and market analytics.
• Develop statistical models and data mining to identify trends and insights.
• Create dashboards and reports for stakeholders across time zones.
• Define data requirements and analytical approaches with project teams.
• Monitor KPIs and provide regular performance analyses and recommendations.
• Stay updated on pharma data analytics best practices.

Kenntnisse

SQL

Python

R

Analytical thinking

Remote collaboration

Ausbildung

Bachelor's degree in Data Science or related field

Tools

Tableau

Power BI

Jobbeschreibung

About the Role

Our client is seeking a meticulous and analytical Remote Pharmaceutical Data Analyst to join their globally distributed team, supporting operations based in Cape Town . This role is critical for transforming complex pharmaceutical data into actionable insights that drive strategic decision-making. You will work with large datasets from various sources, including clinical trials, market research, and sales figures, to identify trends, patterns, and opportunities. This is a fully remote position, offering flexibility and the chance to contribute to significant projects from anywhere, collaborating virtually with colleagues across different time zones and geographies.

Key Responsibilities

• Collect, clean, and process large datasets from pharmaceutical research, clinical trials, and market analytics.
• Develop and implement statistical models and data mining techniques to identify key trends and insights.
• Create clear and compelling data visualizations, dashboards, and reports for stakeholders.
• Collaborate with project teams to define data requirements and analytical approaches for various initiatives.
• Monitor key performance indicators (KPIs) and provide regular performance analysis and recommendations.
• Stay current with industry trends and best practices in pharmaceutical data analytics and reporting.

Requirements

• Bachelor's degree in Data Science, Statistics, Bioinformatics, Pharmacy, or a related quantitative field.
• Proven experience as a Data Analyst, preferably within the pharmaceutical or healthcare industry.
• Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently, manage multiple projects simultaneously, and communicate effectively in a remote setting.

Benefits

• Competitive salary commensurate with experience.
• Fully remote work arrangement, offering significant work-life balance.
• Comprehensive health and wellness benefits package.
• Opportunities for professional development and advanced training in data science.
• Access to cutting-edge analytical tools and platforms.