Senior Product Analytics Lead (Remote East Coast)

ShopMy

United States

Remote

USD 125,000 - 175,000

Full time

14 days+
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Benefits offered by this job

Medical & Dental coverage 70%
Equity in ShopMy
Flexible PTO
Parental leave 14 weeks
Wellness stipend
Technology stipend
Learning & Development stipend
401k plan
Wellhub Membership
Company retreats
Monetize your influence
Birthday PTO
Brand new NYC HQ office

Job summary

ShopMy is seeking a Senior Data Analyst to join our Data & Analytics team and partner with Product, Engineering, and Design to measure and optimize product performance across the ecommerce marketplace. You will own analytics, build data models, dashboards, and instrumentation, and drive data-informed decisions at scale.

You will define success, validate launches, monitor live products, and design experiments (A/B, incrementality, attribution).

Qualifications

  • 5+ 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.

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

Skills

SQL
Data analysis
BI tools
Experimentation
Python/JS
Communication

Tools

Amplitude
Heap
Mixpanel
Python
JavaScript

Job description

ShopMy is seeking a Senior Data Analyst to join our Data & Analytics team and partner with Product, Engineering, and Design to measure and optimize product performance across the ecommerce marketplace. You will own analytics, build data models, dashboards, and instrumentation, and drive data-informed decisions at scale.

You will define success, validate launches, monitor live products, and design experiments (A/B, incrementality, attribution).

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