Lead Product Analytics & Insights Architect

Scribd, Inc.

San Francisco (CA)

Hybrid

USD 153,000 - 217,000

Full time

3 days ago
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Benefits offered by this job

Scribd Flex (flexible work model)
Health, dental, and vision coverage
Mental health support and disability
Generous paid time off
Parental leave and family support
Retirement matching and equity
Learning and development programs
Wellness and home office stipends
Access to Scribd suite and AI tools

Job summary

Scribd, Inc. is seeking a Senior/Lead Data Analytics professional to build metrics for content understanding and enrichment. You will own analytics for content supply, quantify gaps, and prioritize investments alongside product teams, engineering, and data partners.

You will design experiments, define KPIs, and maintain dashboards, ensuring data quality and effective communication to executives and product owners.

Qualifications

  • 4+ years of experience in product analytics or a closely related role for Senior, or 7+ years for Lead.
  • Experience turning ambiguous questions into analytics that influence decisions.
  • Experience with market sizing, segmentation, or ROI modeling.
  • Advanced SQL; Python or R for analysis.

Responsibilities

  • Build measurement for content understanding and metadata coverage.
  • Own analytics for content supply and identify gaps to prioritize investments.
  • Partner with Product Managers on strategy and roadmap.
  • Design and read experiments (A/B tests) for product changes.
  • Define KPIs and dashboards for the content domain; ensure data quality.

Skills

Advanced SQL
Python/R
Databricks
Looker/Tableau
Experiment design
Communication
AI integration
Product analytics

Education

Bachelor’s degree in a quantitative field

Tools

Databricks
Looker
Tableau

Job description

Scribd, Inc. is seeking a Senior/Lead Data Analytics professional to build metrics for content understanding and enrichment. You will own analytics for content supply, quantify gaps, and prioritize investments alongside product teams, engineering, and data partners.

You will design experiments, define KPIs, and maintain dashboards, ensuring data quality and effective communication to executives and product owners.

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