Data Analytics Intern – Pharma Supply Chain (Power BI & RPA)

Boehringer Ingelheim

Singapore

Presencial

SGD 17.000 - 23.000

A tiempo parcial

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Boehringer Ingelheim is offering a data analytics internship focused on supporting the pharmaceutical supply chain across Asia Pacific. The role involves developing dashboards, performing data wrangling, and integrating data from SAP systems to enable informed business decisions.

The internship emphasizes hands-on experience with Power BI, Power Automate, and related tools, plus exposure to forecasting and finance analytics.

Formación

  • Current student in data science, computing or related field.
  • Experience with data wrangling and visualization preferred.
  • Familiarity with SAP data sources is a plus.
  • Able to commit full-time Jan–May/Jun; international students may not apply.

Responsabilidades

  • Participate in developing dashboards and/or RPA setups.
  • Perform data wrangling and cleaning for analysis and modeling.
  • Develop Power BI, Power Automate Desktop and/or Power Apps.
  • Support enhancement of current analytics initiatives.
  • Extract and integrate data from SAP and other data platforms.
  • Gain exposure to analytics in supply chain, forecasting, and finance.

Conocimientos

Data analytics
Data visualization
Independent work
Communication skills
Attention to detail

Educación

Background in data/computer science or supply chain

Herramientas

Power BI
Tableau
QlikView
Power Automate
PowerApps
UiPath
VBA
Excel

Descripción del empleo

Boehringer Ingelheim is offering a data analytics internship focused on supporting the pharmaceutical supply chain across Asia Pacific. The role involves developing dashboards, performing data wrangling, and integrating data from SAP systems to enable informed business decisions.

The internship emphasizes hands-on experience with Power BI, Power Automate, and related tools, plus exposure to forecasting and finance analytics.

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