Digital Commerce Retail Media Analytics Intern

Lindt & Sprüngli•Stratham, NH
•Onsite

About The Position

The Digital Commerce Retail Media Analytics Intern will support Lindt’s Digital Commerce team by building a scalable retail media effectiveness dashboard that consolidates campaign, media, and commerce performance data from multiple retailer media networks and other sources. Working closely with the Retail Media Manager and Digital Commerce Analyst, the intern will organize, validate, analyze, and visualize campaign results, connect media performance with available business and sales data, and develop actionable recommendations to improve media effectiveness and investment decisions. The role includes collecting, cleaning, transforming, and validating data; defining consistent KPI calculations and documentation; analyzing measures such as spend, impressions, clicks, click-through rate, cost per click, attributed sales, return on ad spend, and conversion; and identifying trends, performance drivers, outliers, and optimization opportunities. The intern will collaborate with cross-functional teams and agency partners, create user documentation, and present the dashboard, methodology, insights, and recommended next steps to stakeholders. Lindt’s twelve-week summer Lindternship program provides undergraduate and graduate students with hands-on project experience, a mentor, professional development workshops and sessions, and networking events. The position is based at Lindt USA headquarters in Stratham, New Hampshire, or the satellite office in Boston, Massachusetts, and requires onsite work four to five days per week, depending on the role. Applicants must be authorized to work in the United States; visa sponsorship is not available. Compensation is $20 per hour. Applicants must successfully pass a background screening and may also be required to pass drug screenings.

Requirements

  • Be a sophomore, junior, senior, or graduate student enrolled in an accredited university degree program.
  • Have academic, internship, or project experience working with large datasets, marketing analytics, business analytics, or data visualization.
  • Have experience cleaning, joining, and analyzing data from multiple sources to answer a business question or build a reporting solution.
  • Have proficiency in Microsoft Power BI, including data modeling, Power Query, DAX, dashboard development, and data visualization.
  • Have a strong data science and analytical foundation, including working knowledge of data preparation, exploratory analysis, statistical reasoning, and measurement concepts.
  • Have proficiency in Excel.
  • Be able to translate complex analyses into clear insights, compelling visualizations, and practical business recommendations.
  • Demonstrate strong attention to detail and commitment to data quality, documentation, and reproducible processes.
  • Have strong project management, communication, and collaboration skills, including the ability to manage multiple data inputs and stakeholder needs.
  • Be able to work onsite at Lindt USA headquarters in Stratham, New Hampshire, or the satellite office in Boston, Massachusetts, four to five days per week, depending on the role.
  • Be able to complete a twelve-week summer internship and collaborate with internal teams and external agency partners.
  • Be authorized to work in the United States in accordance with company requirements; applicants must be authorized to work full-time and the company will not sponsor work visas.
  • Successfully pass a background screening and, if required, drug screenings.

Nice To Haves

  • Experience developing dashboards or analytical models in Power BI; coursework and portfolio projects are acceptable.
  • 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.
  • Enrollment 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 consolidating 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 available sales, share, traffic, conversion, promotional, and retailer performance insights.
  • Identify trends, performance drivers, outliers, and optimization opportunities, and translate findings into actionable recommendations.
  • Collaborate with Shopper Marketing, Digital Commerce, analytics, and agency partners to gather requirements, reconcile inputs, and support business decision-making.
  • Create user documentation and present the dashboard, methodology, key insights, and recommended next steps to cross-functional stakeholders.

Benefits

  • Twelve-week summer internship program with hands-on experience on projects that impact the business.
  • Mentor pairing.
  • Professional career development workshops and sessions.
  • Networking events with additional team members.
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