Data Science Student Assistant: Visualize Impact

Novo Nordisk A/S; Kalundborg; Hybrid; DKK 220,000 - 276,000; Part time

Benefits offered by this job

Pension scheme

Job summary

Novo Nordisk A/S invites applications for a Student Assistant – Data Science in Kalundborg. The role focuses on transforming HR data into actionable insights, combining data science with people analytics to inform leadership decisions.

You will work on ETL, descriptive/predictive analyses, and dashboards, collaborating across P&O to identify opportunities in a global manufacturing setting. Flexible hours include in-office or remote work.

Qualifications

• Currently enrolled in an MSc programme within statistics, computer science, or data science.
• Business Intelligence & Visualisation: Power BI, Tableau
• Data Preparation & ETL: Alteryx, Power Query
• Cloud & Data Platforms (nice to have): Azure, Snowflake

Responsibilities

• Acquiring, translating, and preparing data from multiple sources for analysis using ETL tools and processes
• Performing descriptive, prescriptive, and predictive data analysis to extract meaningful features from complex datasets
• Building clear, concise, and precise data visualisations that communicate insights to stakeholders and leadership
• Developing and maintaining dashboards and reports that track key people metrics and support organisational decisions
• Collaborating with colleagues across the department to identify data-driven opportunities and solve real-world problems
• Applying academic knowledge to practical challenges, bridging theory and application in a global manufacturing environment

Skills

Power BI

Tableau

Alteryx

Power Query

Azure

Snowflake

Education

MSc in statistics, computer science, or data science

Job description

Novo Nordisk A/S invites applications for a Student Assistant – Data Science in Kalundborg. The role focuses on transforming HR data into actionable insights, combining data science with people analytics to inform leadership decisions.

You will work on ETL, descriptive/predictive analyses, and dashboards, collaborating across P&O to identify opportunities in a global manufacturing setting. Flexible hours include in-office or remote work.