HHiring Reality
← ShopMy

Senior Data Analyst, Product Analytics

ShopMy
Location
New York
Posted
2 months ago
Department
Data & Analytics
What they actually want (must-haves)
  • 6+ years of experience in Data & Analytics, preferably in product analytics within e-commerce, marketplaces, B2B SaaS, marketing technology, agencies, or social platforms
  • 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
What the job really is

As a Senior Data Analyst at ShopMy, you will partner with Product, Engineering, and Design teams to enhance product performance through data-driven insights. Your responsibilities include building data models, creating dashboards, validating product launches, and conducting deep-dive analyses to identify opportunities for improvement. This role emphasizes autonomy and direct impact on product decisions, with a focus on AI-powered analytics and performance monitoring.

Benefits
  • Medical & Dental Coverage at 70%
  • Equity in ShopMy
  • Flexible PTO
  • 14 weeks of parental leave
  • Wellness & Social Stipend
  • Technology Stipend
Things to weigh
  • The role requires strong technical skills and experience with a variety of tools, which may be challenging for candidates without a robust background in data analytics.
  • The position emphasizes autonomy and self-direction, which may not suit everyone depending on their work style.
  • The salary range is provided, but actual compensation may vary based on experience and business needs, which could lead to uncertainty for candidates.
  • Preference for candidates based in New York City may limit remote opportunities for those outside the East Coast.
Job score3.2/5
Benefits5/5
Freshness1/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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