Student Research Associate: Ad Hoc Insights (Hybrid)

Lego Group; Denmark; Hybrid; DKK 165,000 - 248,000; Part time

Benefits offered by this job

Family Care Leave

Life and disability insurance

Wellbeing resources

Colleague discount

Bonus scheme

Hybrid work policy

Job summary

The LEGO Group is seeking a Student Worker for Global Insights to manage, maintain and develop the GI Ad Hoc Platform, supporting stakeholders in quick and agile research, and running small qualitative or quantitative analyses. As a student worker you will join the GI Foundation Excellence team, with a hybrid policy and a primary workplace location.

You should be enrolled in an educational institution with 2–3 years left, have a business mindset, and strong English; Excel and Power BI are valued

Qualifications

• Enrolled in an educational institution during employment as a student worker.
• 2–3 years left in studies preferred.
• Business understanding and marketing research exposure is advantageous.
• Strong English skills (verbal and written) required; report in English.

Responsibilities

• Manage, maintain, standardize, and develop the GI Ad Hoc Research Platforms.
• Set up simple qualitative and quantitative studies.
• Provide topline qualitative and quantitative analysis.
• Be the main contact for ad hoc research partners and explore new partnerships.

Skills

English proficiency

MS Office

Excel

Power BI

Qualitative analysis

Quantitative analysis

Communication

Education

Marketing research coursework

Business courses

Tools

MS Office

Excel

Power BI

PowerPoint

Job description

The LEGO Group is seeking a Student Worker for Global Insights to manage, maintain and develop the GI Ad Hoc Platform, supporting stakeholders in quick and agile research, and running small qualitative or quantitative analyses. As a student worker you will join the GI Foundation Excellence team, with a hybrid policy and a primary workplace location.

You should be enrolled in an educational institution with 2–3 years left, have a business mindset, and strong English; Excel and Power BI are valued