<div class="content-intro"><h3>About <a href="https://himalayas.app/companies/extend-app">Extend</a>:</h3><div><div><a href="https://himalayas.app/companies/extend-app">Extend</a> is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside <a href="https://himalayas.app/companies/extend-app">Extend</a>'s best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, <a href="https://himalayas.app/companies/extend-app">Extend</a> empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.</div><div><br>Today, <a href="https://himalayas.app/companies/extend-app">Extend</a> works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. <a href="https://himalayas.app/companies/extend-app">Extend</a> is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.</div></div></div><h3>About the Role:</h3><p>The Revenue Analytics team is focused on developing strategic recommendations grounded in data to scale, drive, and recover revenue. We are experts at synthesizing different contexts from Sales, Growth, Product, Engineering, and Risk to identify growth and expansion opportunities that directly drive the company’s bottom line. If you have a passion for breaking down complexity and ambiguity into quantifiable impact, you’ll thrive on our team.</p><h3>What You Will Be Doing:</h3><ul><li>Cross-functional Champion: Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations.</li><li>Revenue Optimization: Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.</li><li>Data-driven Insights: Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction, with opportunities to present these insights to leadership on a regular basis.</li><li>Data Infrastructure: Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities.</li><li>Role Model: Set the standard for the team in terms of analytical thinking and excellence.</li></ul><h3>What We’re Looking For:</h3><ul><li>5+ years experience in data science and/or consulting with strong emphasis