Lead Product Analytics & Strategy

Scribd, Inc.; Vancouver; On-site; CAD 152,000 - 194,000; Full time

Benefits offered by this job

Scribd Flex (flexible work model)

Comprehensive health, dental, and vis­

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

Complimentary Scribd access

Enterprise access to AI tools

Job summary

Scribd, Inc. is seeking a data analytics professional to own content-supply insights and measurement. You will collaborate with product, engineering, ML, and data teams to turn data into trusted decisions that impact discovery and engagement.

You will design experiments, define KPIs, and use AI-assisted workflows to accelerate analysis while ensuring metric quality. A strong storytelling ability is essential.

Qualifications

• Bachelor’s degree in a quantitative field.
• 4+ years in product analytics or a closely related role for Senior.
• 7+ years for Lead with a track record of influencing product decisions.

Responsibilities

• Build measurement for content understanding and metadata coverage.
• Own analytics for content supply and quantify gaps and value.
• Partner with Product Managers on strategy, roadmap, and metrics.
• Design and read experiments (A/B tests) for product changes.
• Define KPIs, metrics, and dashboards with instrumentation.
• Investigate data discontinuities and anomalies and explain them.
• Use AI-assisted workflows to speed up analysis and reporting.
• Present findings to product, engineering, and executives.
• Lead: mentor analysts and set measurement standards.

Skills

Advanced SQL

Python or R

Experimentation (A/B testing)

Strong communication

Content/metadata analytics

Opportunity sizing

Education

Bachelor’s degree in Statistics, Mathematics, Economics, or CS

Tools

Databricks

Looker

Tableau

Job description

Scribd, Inc. is seeking a data analytics professional to own content-supply insights and measurement. You will collaborate with product, engineering, ML, and data teams to turn data into trusted decisions that impact discovery and engagement.

You will design experiments, define KPIs, and use AI-assisted workflows to accelerate analysis while ensuring metric quality. A strong storytelling ability is essential.