iRESTORE
11 - 50 employees
Founded 2003
đ Beauty
đ§ Hardware
đïž eCommerce
Beauty âą Hardware âą eCommerce
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.
Senior Data Analyst
đ April 1
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iRESTORE
11 - 50 employees
Founded 2003
đ Beauty
đ§ Hardware
đïž eCommerce
Beauty âą Hardware âą eCommerce
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.
đ Description
âą Analyze daily, weekly, and monthly revenue performance across channels and geographies âą Monitor contribution margin (CM) against forecast and plan âą Identify and quantify the drivers of CM volatility â including refunds, CAC shifts, discount depth, and channel mix âą Partner with Paid Media and Growth teams to deliver deep channel-level analysis âą Build and maintain cohort-based refund curves and payback views âą Support the build and maintenance of 30/60/90-day revenue forecasts âą Build dashboards that matter âą Translate analysis into clear recommendations
đŻ Requirements
âą 5+ years of proven experience in marketing analytics or a related field âą Advanced SQL âą Experience working in BigQuery or similar warehouse environments âą Experience building executive-ready dashboards in Looker Studio (or similar) âą Hands-on experience working with AI-assisted coding environments such as cloud-based code agents, Cursor, or similar tools âą Strong understanding of e-commerce unit economics âą Experience analyzing performance marketing funnels âą Excellent written and verbal communication in English.
đïž Benefits
âą Professional development opportunities âą Flexible working hours
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