COMPANY AND VISION

PlanetArt’s vision is to be the leading seller of personalized and make-on-demand products worldwide. We provide consumers with unmatched tools and content and an unparalleled end-to-end customer experience that result in high-quality, meaningful finished products and memorable celebrations of live events.
The company’s brands include the popular FreePrints and FreePrints Photobooks apps and the industry leading SimplytoImpress card and stationery site, as well as Personal Creations, CafePress and ISeeMe! Visit www.planetart.com to learn more about our brands.
We have more than 500 team members across multiple offices, primarily in Calabasas CA, San Diego CA, Woodridge IL, Minneapolis, MN and Pleasanton, CA. We also have team members in two company-owned offices in China, as well as in Europe.

JOB OVERVIEW

PlanetArt is seeking a Forecasting & Analytics Intern to join our Forecasting & Pricing Group. This internship is designed for students or recent graduates who want to explore careers in data analytics, forecasting, and business planning. You’ll gain hands-on exposure to forecasting methods, tools, and cross-functional collaboration while supporting meaningful projects that drive business performance.
PLEASE NOTE: Candidates much be local to or willing to relocate to the Calabasas area as we operate on a hybrid work model (3 days onsite, 2 remote)

SKILLS, QUALIFICATIONS, AND REQUIREMENTS

• Graduating seniors (December 2025 or May 2026) or recent graduates with a degree in Statistics, Economics, Data Science, Business Analytics, Finance or a related field.
• Strong academic background in quantitative analysis or statistics.
• Exposure to Excel and basic familiarity with SQL, Python, or R (coursework or project-based experience is sufficient).
• Interest in learning data visualization tools such as Tableau or Power BI.
• Strong communication skills and willingness to work in a collaborative team environment.
• Enthusiasm for learning, curiosity, and a proactive attitude.

KEY RESPONSIBILITIES

• Assist in developing and maintaining forecasting models.
• Collect, clean, and analyze historical data to support forecasts.
• Collaborate with Sales, Finance, Supply Chain, Marketing, and Operations to understand business drivers.
• Create recurring reports, dashboards, and presentations to summarize data and insights.
• Monitor forecast performance and track variances.
• Learn and apply statistical and data analysis techniques to improve forecasting accuracy.
• Support senior analysts on projects and gain exposure to industry best practices.