Student Assistant at Novo Nordisk maintaining data tools and analyzing performance across global manufacturing sites. Seeking MSc students with an analytical mindset and data - driven insights.
About the role
- Data Analyst transforming large data volumes into strategic marketing insights for business decisions. Establishing data governance and modeling to support market behavior analysis.
Responsibilities
- Structure, organize, integrate and maintain analytical databases from multiple internal and external sources, ensuring consistency, integrity and reliability of the information.
- Perform data cleaning, validation and standardization, applying statistical techniques to ensure data quality and analytical accuracy.
- Develop and maintain analytical and statistical models, including regressions, time series, multivariate analyses, segmentations and clustering.
- Work on data modeling for demand studies, market potential, customer behavior, churn, performance and risk analysis.
- Work with georeferenced databases (geomarketing), integrating territorial, demographic and socioeconomic data for spatial analyses and market expansion planning.
- Create dashboards, executive reports and analytical datasets that translate large volumes of data into strategic insights with a solid quantitative foundation.
- Support Marketing and Commercial teams with data-driven analyses, ensuring methodological alignment and statistical reliability.
- Monitor indicators, metrics and KPIs, proposing continuous improvements to the analytical framework and information processes.
- Contribute to the advancement of data governance, including best practices for documentation, versioning and standardization of analytical datasets.
- Identify opportunities to improve efficiency, competitiveness and analytical accuracy through the structured and intelligent use of data.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Economics, Information Systems or related fields.
- Solid experience in data analysis and modeling.
- Proficiency in statistical and analytical techniques (regression, time series, multivariate analyses, clustering).
- Experience working with and processing large datasets.
- Knowledge of visualization and BI tools (e.g., Power BI, Tableau or similar).
- Proficiency in SQL and strong data modeling skills.
- Analytical, critical and results-oriented profile, with good communication skills to translate data into business insights.
- Differentials / Preferred qualifications:
- Previous experience in Marketing, Commercial or Growth teams.
- Knowledge of geomarketing and spatial analysis.
- Experience with demographic, socioeconomic and territorial data.
- Experience with programming languages such as Python or R applied to data analysis.
- Experience with cloud data environments.
Benefits
- RVI – Incentivized variable compensation
- Profit Sharing (PLR)
- Childcare assistance
- Life insurance
- Meal voucher
- Food allowance
- Transportation voucher
- Mobility allowance
- Health plan (Unimed)
- Dental plan
- Gym discounts (TotalPass)
- C4Life
- Discounted internet and mobile phone plans
Job title
Job type
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Not specified
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