Senior or Lead Data Analyst, Product Analytics

ShopMy is transforming e-commerce through creator programs, human-led curation, and a multi-sided marketplace. The Senior Data Analyst will partner with Product, Engineering, and Design to define product success, improve measurement systems, analyze user behavior and product performance, validate launches, and generate actionable recommendations, including for AI-powered products.

Responsibilities:

• 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
• Build and maintain product data models, dashboards, and analyses that make adoption, conversion funnels, user behavior, product performance, and opportunities clear and actionable
• Validate launches and monitor live products, creating alerts and quality checks that identify instrumentation gaps, product regressions, anomalous behavior, and data issues early
• Conduct deep-dive analyses to identify, quantify, and prioritize opportunities that improve product performance and drive business impact
• Design and evaluate experimentation and measurement strategies, including A/B testing, incrementality, and attribution
• 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
• Help measure and improve AI-powered products, and develop AI-enabled analytics workflows that monitor performance, interpret feedback, and surface insights at scale
• Communicate clear recommendations, challenge assumptions when needed, and quantify the impact of product and analytics initiatives for stakeholders and leadership

Requirements:

• 6+ 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
• Expert SQL skills with experience working with large, complex datasets, building data models and pipelines, and operating within modern cloud data warehouses
• Strong experience with business intelligence tools, BI modeling, data visualization, and storytelling through dashboards
• 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
• Experience with experimentation and measurement, including A/B testing, incrementality, or attribution
• 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
• 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
• 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
• We have a strong preference for someone to be based in New York City