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Data Analyst Intern

Undisclosed company
CompanyUndisclosed company
CategoryData & Analytics
LocationNL
RemoteHybrid
EmploymentTemporary
LevelIntern
SalaryNot stated by the employer
Posted21 Jul 2026
Last verified30 Jul 2026
SourceGovernment feed (eures)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
NL NEDERLAND & BELGIË STEL VACATUREMELDING IN WAAR WIL JE WERKEN? Research & Innovation Data Analyst Intern - Sensory & Consumer Research - Netherlands - Utrecht - Hybrid - Temporary Full-Time - 6 month - Posted: 17 Jul 2026 Data Analyst Intern - Sensory & Consumer Research About the job Are you curious about how data can shape better products and experiences for consumers? Join our Research & Innovation team as a Data Analyst Intern and help make sensory and consumer research data more accessible, reliable and impactful for business decisions. In this internship, you will work at the intersection of data science, consumer insights and food innovation, supporting projects that improve how we manage, analyse and use research data across specialised nutrition. As a Data Analyst Intern in Sensory & Consumer Research , you will be part of the Digital Team within the User Experience and Category Knowledge team for Specialised Nutrition. This team helps translate consumer and sensory research into meaningful insights that guide product innovation, decision-making and business priorities. Your work will focus on improving the quality, structure and usability of research data. You will support data governance initiatives, help document key processes and explore how tools such as AI and machine learning could make consumer research data easier to access, analyse and apply. This is a hands-on internship for someone who enjoys working with data, asking smart questions and turning complex information into practical solutions. Key Responsibilities - Support data management initiatives by helping improve data quality, documentation, governance and ways of working. - Help make sensory and consumer research data easier to access, structure and use for different stakeholders. - Explore opportunities to apply AI, machine learning or advanced analytics to relevant business challenges. - Work with tools such as Excel, Power BI, SQL ...
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