Data Analytics Intern — Pharma, Hybrid

CamWebDir; Bogotá; Híbrido; COP 11.160.000 - 20.088.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Hybrid work arrangements

Descripción de la vacante

CDM (Clinical Data Management) is seeking a Data Analyst Intern in Bogotá to support data strategy development, collect and process data, and build predictive models. You will work with Python and Power BI to generate forecasts and dashboards, driving actionable insights for resource optimization.

You will receive training across data management processes, participate in all data strategy phases, and gain hands-on experience with data analysis, modeling, and project execution in a global setting.

Formación

• Bachelor's student in engineering, data science, statistics or related fields.
• Knowledge of programming and data analysis tools (Python preferred).
• Technical experience with data visualization tools like Power BI.
• Strong analytical and problem-solving skills and English proficiency.

Responsabilidades

• Support data strategy development through organized data collection and predictive analytics.
• Generate actionable insights to drive business decisions and optimize resources.
• Collaborate with stakeholders to translate needs into analytical models.
• Build and maintain data pipelines and databases for accurate data collection.
• Apply statistical methods and machine learning to analyze data and forecast demand.
• Create visuals, reports, and dashboards communicating insights clearly.

Conocimientos

Data Analysis

Statistical Modeling

English Communication

Analytical Thinking

Educación

Bachelor's student in engineering, data science, statistics

Herramientas

Python

Power BI

Descripción del empleo

CDM (Clinical Data Management) is seeking a Data Analyst Intern in Bogotá to support data strategy development, collect and process data, and build predictive models. You will work with Python and Power BI to generate forecasts and dashboards, driving actionable insights for resource optimization.

You will receive training across data management processes, participate in all data strategy phases, and gain hands-on experience with data analysis, modeling, and project execution in a global setting.