Senior Data Analyst, Product Analytics at ShopMy
United States
$125k - $175k
<div class="content-intro"><p><strong>Join ShopMy – Powering the Future of Digital Marketing</strong></p> <p>ShopMy is transforming e-commerce by building the infrastructure for human-led curation at scale. We help brands run performance-driven creator programs while enabling top creators to monetize their influence and partner directly with the brands they love—driving discovery through trusted tastemakers and authentic recommendations.<br><br>ShopMy recently became a unicorn, raising at a $1.5B valuation with backing from Bessemer Venture Partners, Avenir Growth Capital, and Bain Capital Ventures.<br><br>At ShopMy, you're building the future of human-led commerce for the world's best brands, tastemakers, and shoppers. You move fast and see immediate impact in your work, alongside accomplished teammates who are driven by helping find the world's best things. If you’re excited to help shape the future of curated commerce at the intersection of technology, culture, and taste, we’d love to meet you.</p></div><h2><strong>Who You Are</strong></h2> <p>We’re looking for a <strong>Senior Data Analyst</strong> to join ShopMy’s growing Data & Analytics team and become a dedicated analytics partner to Product, Engineering, and Design. This role is about helping every product perform to its potential: establishing what success looks like, ensuring the right behaviors are tracked, validating launches, and making it easy to see what’s working, what isn’t, and where the next opportunity lies.</p> <p>You know how to identify what drives value and unlock it through better measurement, systems, and analysis. You don’t wait for every question to be handed to you. You dig into user behavior, conversion funnels, product performance, and user feedback to find gaps and opportunities, then work with the right teams to act on them. When data is missing, inconsistent, or misleading, you trace the issue to its source and help drive a complete solution.</p> <p>You bring substantial technical depth and strong product intuition. You can think in SQL, build thoughtful data models, create dashboards that tell a clear story, and translate nuanced findings into clear recommendations. You know that technically correct results can still tell the wrong story, and you have the judgment to recognize when the data does not reflect the user behavior or business question it is meant to explain. You use AI to multiply your output without outsourcing your judgment.</p> <p>ShopMy sits at the intersection of SaaS, e-commerce, and a multi-sided marketplace, creating an unusually broad product analytics problem space. You’ll work across creator, brand, and shopper experiences, help define how we measure AI-powered products, and explore how AI can continuously monitor performance, surface anomalies, and generate insights. This is a high-autonomy role with a direct line from your work to ShopMy’s product decisions and business performance.</p> <h2><strong>What You’ll Do</strong></h2> <ul> <li>Own product analytics for key areas, partnering with Product, Engineering, and Design to define success criteria, tracking requirements, and measurement plans from discovery through launch and optimization</li> <li>Build and maintain product data models, dashboards, and analyses that make adoption, conversion funnels, user behavior, product performance, and opportunities clear and actionable</li> <li>Validate launches and monitor live products, creating alerts and quality checks that identify instrumentation gaps, product regressions, anomalous behavior, and data issues early</li> <li>Conduct deep-dive analyses to identify, quantify, and prioritize opportunities that improve product performance and drive business impact</li> <li>Design and evaluate experimentation and measurement strategies, including A/B testing, incrementality, and attribution</li> <li>Audit product tracking across web and mobile sources, events, and transformations, partnering with Data Infrastructure and Engineering to resolve gaps and build the models or pipelines needed for reliable analysis</li> <li>Help measure and improve AI-powered products, and develop AI-enabled analytics workflows that monitor performance, interpret feedback, and surface insights at scale</li> <li>Communicate clear recommendations, challenge assumptions when needed, and quantify the impact of product and analytics initiatives for stakeholders and leadership</li> </ul> <h2><strong>Qualifications</strong></h2> <ul> <li>4+ years of experience in Data & Analytics, preferably in product analytics within e-commerce, marketplaces, B2B SaaS, marketing technology, agencies, social platforms, or similarly relevant environments</li> <li>Expert SQL skills with experience working with large, complex datasets, building data models and pipelines, and operating within modern cloud data warehouses</li> <li>Strong experience with business intelligence tools, BI modeling, data visualization, and storytelling through dashboards</li> <li>Experience analyzing digital user behavior, conversion funnels, feature adoption, and product performance; defining instrumentation and measurement plans; and working with product analytics tools such as Amplitude, Heap, Mixpanel, or similar platforms</li> <li>Experience with experimentation and measurement, including A/B testing, incrementality, or attribution</li> <li>Working experience with Python, JavaScript, R, notebooks, or similar tools for analysis and automation, along with experience using AI to accelerate analysis, automate workflows, monitor products, or surface insights</li> <li>Strong product intuition, problem-solving skills, and attention to detail, with a resourceful and self-directed approach to ambiguity, prioritization, and independently identifying where Analytics should get involved</li> <li>Excellent communicator and cross-functional partner who can simplify abstract or technical concepts, tailor the message to the audience, and turn analysis into a clear point of view</li> </ul> <p><strong>We have a strong preference for someone to be based in New York City, but open to remote on the East Coast.</strong></p> <p>The work in this role directly shapes how ShopMy builds, measures, and improves its products. This is foundational, high-impact work with meaningful autonomy, exposure across the full product portfolio, and the opportunity to define what excellent product analytics looks like as the company scales.</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>In compliance with New York Pay Transparency Law, the salary range for this position is as shown. We note that salary information as a general guideline only, actual compensation may vary from posting based on the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, education, training and business considerations. </p></div><div class="title">New York Pay Range</div><div class="pay-range"><span>$125,000</span><span class="divider">—</span><span>$175,000 USD</span></div></div></div><div class="content-conclusion"><div> <p><em>The provided salary range is base salary, exclusive of bonus potential or commission and is a good faith estimate of cash compensation. ShopMy is flexible pending candidate's experience and how our business needs evolve throughout the search. Every employee of ShopMy receives equity on top of cash compensation!</em></p> <p><br>ShopMy offers a bundle of benefits on top of being a great place to work. </p> </div> <p>Our teammates are provided benefits such as:</p> <ul> <li>Medical & Dental Coverage at 70%</li> <li>Equity in ShopMy</li> <li>Flexible PTO</li> <li>14 weeks of parental leave</li> <li>Wellness & Social Stipend</li> <li>Technology Stipend</li> <li>Learning & Development Stipend </li> <li>401k program (3% automated contribution from ShopMy!)</li> <li>Wellhub Membership</li> <li>Company retreats</li> <li>Opportunity to monetize your influence- all employees build out a ShopMy page!</li> <li>Birthday PTO</li> <li>Brand new NYC HQ office</li> </ul> <p> </p></div>
Apply Now
