Digital Commerce Retail Media Analytics Intern

Lindt & Sprüngli (Canada), Inc•Stratham, NH

7d•Onsite

About The Position

The Digital Commerce Retail Media Analytics Intern will support Lindt’s Digital Commerce team by building a scalable Power BI dashboard to measure retail media effectiveness. The dashboard will consolidate and visualize campaign, media, and commerce performance from multiple retailer media networks and other data sources, helping stakeholders compare results, identify performance drivers, and make more informed investment decisions. The intern will work closely with the Retail Media Manager and Digital Commerce Analyst, as well as Shopper Marketing, analytics, and agency partners. The role includes collecting, cleaning, transforming, validating, and analyzing data; documenting KPI calculations, data definitions, refresh processes, and quality checks; and translating findings into actionable recommendations. The intern will also create user documentation and present the dashboard, methodology, insights, and recommended next steps to cross-functional stakeholders. This is part of Lindt’s twelve-week summer Lindternship program, which provides hands-on project experience, a mentor, professional development workshops and sessions, and networking events. The position is based onsite at Lindt USA’s headquarters in Stratham, New Hampshire, or its satellite office in Boston, Massachusetts, four to five days per week depending on the role.

Requirements

Academic, internship, or project experience working with large datasets, marketing analytics, business analytics, or data visualization.
Experience cleaning, joining, and analyzing data from multiple sources to answer a business question or build a reporting solution.
Experience developing dashboards or analytical models in Power BI; coursework and portfolio projects are acceptable.
Proficiency in Microsoft Power BI, including data modeling, Power Query, DAX, dashboard development, and data visualization.
Strong data science and analytical foundation, including working knowledge of data preparation, exploratory analysis, statistical reasoning, and measurement concepts.
Proficiency in Excel.
Ability to translate complex analyses into clear insights, compelling visualizations, and practical business recommendations.
Strong attention to detail and commitment to data quality, documentation, and reproducible processes.
Strong project management, communication, and collaboration skills, including the ability to manage multiple data inputs and stakeholder needs.
Be a sophomore, junior, senior, or graduate student enrolled in an accredited university degree program.
Ability to work onsite at the Lindt USA headquarters in Stratham, New Hampshire, or satellite office in Boston, Massachusetts, four to five days per week depending on the role.
Ability to complete a twelve-week summer internship and collaborate with internal teams and external agency partners.
Must be authorized to work in the United States in accordance with company requirements and currently authorized to work in the United States on a full-time basis.
Must successfully pass a background screening and may be required to pass drug screenings.

Nice To Haves

Experience with digital marketing, retail media, eCommerce, consumer packaged goods, or advertising measurement.
Experience with SQL and Python or R for data manipulation and analysis is strongly preferred.
Enrollment in a degree program preferably in Data Science, Analytics, Statistics, Computer Science, Information Systems, Marketing Analytics, Economics, or a related quantitative field.

Responsibilities

Build a Power BI retail media effectiveness dashboard that consolidates campaign, media, and commerce performance from multiple data sources.
Collect, clean, transform, and validate data from retailer media networks, agency reporting, and other relevant sources.
Define and document consistent KPI calculations, data definitions, refresh processes, and quality checks.
Analyze media performance using available measures such as spend, impressions, clicks, click-through rate, cost per click, attributed sales, return on ad spend, and conversion.
Partner with the Digital Commerce Analyst to connect retail media results with sales, share, traffic, conversion, promotional, and retailer performance insights where data is available.
Identify trends, performance drivers, outliers, and optimization opportunities, and translate findings into concise, actionable recommendations.
Collaborate with Shopper Marketing, Digital Commerce, analytics, and agency partners to gather requirements, reconcile inputs, and ensure the dashboard supports business decisions.
Create user documentation and present the dashboard, methodology, key insights, and recommended next steps to cross-functional stakeholders.