
11 - 50 employees
Founded 2003
🏥 Healthcare
🍽️ Food & Beverage
💼 Consulting
Healthcare • Food & Beverage • Consulting
iRESTORE is a direct-to-consumer health and beauty company that develops and sells FDA-cleared red light / low-level laser therapy (LLLT) devices and complementary hair and skincare products to treat hair thinning and promote skin rejuvenation. The brand markets at-home wearable hardware (helmets, caps) and topical formulas, emphasizes clinical studies and doctor endorsements, offers online quizzes, bundles, a warranty/return program, and sells primarily through its eCommerce storefront and marketplaces.
🕒 April 1
🌐 Poland, Romania, +3 more countries – Remote
💵 $40k - $58k / year
⏳ Contract/Temporary
🟠 Senior
📉 Data Analyst
👻 Ghost score 30%
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11 - 50 employees
Founded 2003
🏥 Healthcare
🍽️ Food & Beverage
💼 Consulting
Healthcare • Food & Beverage • Consulting
iRESTORE is a direct-to-consumer health and beauty company that develops and sells FDA-cleared red light / low-level laser therapy (LLLT) devices and complementary hair and skincare products to treat hair thinning and promote skin rejuvenation. The brand markets at-home wearable hardware (helmets, caps) and topical formulas, emphasizes clinical studies and doctor endorsements, offers online quizzes, bundles, a warranty/return program, and sells primarily through its eCommerce storefront and marketplaces.
• Analyze daily, weekly, and monthly revenue performance across channels and geographies • Monitor contribution margin (CM) against forecast and plan • Identify and quantify the drivers of CM volatility — including refunds, CAC shifts, discount depth, and channel mix • Partner with Paid Media and Growth teams to deliver deep channel-level analysis • Build and maintain cohort-based refund curves and payback views • Support the build and maintenance of 30/60/90-day revenue forecasts • Build dashboards that matter • Translate analysis into clear recommendations
• 5+ years of proven experience in marketing analytics or a related field • Advanced SQL • Experience working in BigQuery or similar warehouse environments • Experience building executive-ready dashboards in Looker Studio (or similar) • Hands-on experience working with AI-assisted coding environments such as cloud-based code agents, Cursor, or similar tools • Strong understanding of e-commerce unit economics • Experience analyzing performance marketing funnels • Excellent written and verbal communication in English.
• Professional development opportunities • Flexible working hours
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