Senior Product Analyst

Scribd, Inc.

San Francisco, United States
San francisco: $121,000 - $188,000; us (outside ca...
Design and execute experimentation frameworks
Analyze search-driven landing page journeys
Measure impact of web-facing changes
The mission of the Data & Analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data

Job Summary

  • The mission of the Data & Analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data.
  • In this role, you’ll partner closely with Product, Engineering, Data, and Marketing to uncover insights about user behavior, experiment performance, and content discovery, and translate those insights into actionable recommendations that drive measurable impact.
  • Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture.

Matching Summary

The mission of the Data & Analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data.

Salary

San Francisco: $121,000 - $188,000; US (outside CA): $99,500 - $178,500; Canada: $126,500 CAD - $161,000 CAD; Equity and Benefits included

Skills & Requirements

Must-have

  • design and execute experimentation frameworks
  • analyze search-driven landing page journeys
  • measure impact of web-facing changes
  • partner with Product, Engineering, Data, Marketing
  • build and maintain scalable dashboards

Nice-to-have

  • advance human understanding
  • hire for GRIT
  • flexible work model
  • strengthen collaboration and culture

Key Requirements

  • 3+ years of experience in product analytics
  • Strong understanding of organic web traffic
  • Expert knowledge of statistical concepts
  • Bachelor’s or Master’s degree in a quantitative field
  • Advanced proficiency in SQL and Python or R
  • Experience building dashboards in Looker
  • Experience working with Databricks

Work Rights

Not specified

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