Retail Media Analytics Intern: Power BI Insights

Lindt & Sprüngli Group; Stratham (NH); On-site; USD 23,000 - 32,000; Full time

Benefits offered by this job

Mentor program

Onsite work

12-week internship

Job summary

Lindt USA in Stratham, NH is seeking a Digital Commerce Retail Media Analytics Intern to build a scalable Power BI dashboard that connects performance data from Walmart Connect, Amazon Ads, and other networks to commerce data. You will work closely with the Retail Media Manager to organize, validate, and visualize results.

The role focuses on identifying performance drivers, translating data into insights, and making recommendations to optimize media investments.

Qualifications

• Experience with large datasets, marketing analytics, or data visualization.
• Experience building dashboards or analytical models in Power BI.
• Ability to clean, join, and analyze data from multiple sources.

Responsibilities

• Build a Power BI dashboard consolidating campaign, media, and commerce data from multiple sources.
• Collect, clean, transform, and validate data from Walmart Connect, Amazon Ads, Roundel, Kroger PM, Instacart, DoorDash, and more.
• Define KPI calculations, data definitions, refresh processes, and quality checks.
• Translate analyses into clear insights and actionable recommendations for stakeholders.
• Create user documentation and present final dashboard, methodology, and next steps.

Skills

Power BI

Data modeling

Power Query

DAX

Dashboard development

Excel

SQL

Python

Education

University student (sophomore–graduate)

Tools

Power BI

SQL

Python

Excel

Job description

Lindt USA in Stratham, NH is seeking a Digital Commerce Retail Media Analytics Intern to build a scalable Power BI dashboard that connects performance data from Walmart Connect, Amazon Ads, and other networks to commerce data. You will work closely with the Retail Media Manager to organize, validate, and visualize results.

The role focuses on identifying performance drivers, translating data into insights, and making recommendations to optimize media investments.