
Blidz is Making Shopping Exciting. We aim to create the ultimate shopping experience by combining artificial intelligence and gamification with traditional easy-to-use shopping features.

Blidz is Making Shopping Exciting. We aim to create the ultimate shopping experience by combining artificial intelligence and gamification with traditional easy-to-use shopping features.
What they do: Gamified social shopping app combining group-buy (Team Buy), in-app games, and rewards
Founded: 2017
Headquarters / operations: Founded in Helsinki; operates from an office address in New York City
Seed funding: €6M (~$6.6M) seed round announced March 23, 2022
Team size (approx.): 16 employees
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Retail / e-commerce — price-sensitive shoppers seeking discounted deals and social shopping experiences
2017
Retail
€6,000,000
Round reported as approximately €6M (~$6.6M) with participation from D4 Ventures, Fabric Ventures, FJ Labs, IPR.VC and several individuals.
“Led/co-led by well-known VCs General Catalyst and Peak with participation from multiple specialist investors”
🚀 Exciting Opportunity Alert! 🚀
We're on the hunt for a sharp Data Analytics Intern to join our fast-paced team at Blidz – the entertainment shopping app that's redefining fun and deals. Imagine Costco meets Disneyland, powered by AI for irresistible rewards and seamless shopping! If you're eager to dive into data and make real impact in a dynamic startup environment, this internship is your chance to shine.
Company Overview
Blidz brings together brilliant minds from Helsinki, Shanghai, and New York. We're growing rapidly and steadily, hitting $20MUSD in ARR and fully profitable. We've raised millions from top-tier VCs like General Catalyst and angels like David Helgason (Unity founder), and we're gearing up for Series A – perfect timing to jump in and feel the 1->100 vibes!
Job Overview
As a Data Analytics Intern, you'll crunch numbers, uncover insights, and help drive our growth strategies. You'll work closely with our senior engineers and analytical wizards in a flat, no-hierarchy setup – we skip the busywork and focus on real problem-solving. This role blends analytical prowess with creativity to optimize user experiences in our entertainment shopping world.
Responsibilities
Qualifications
What You'll Get