Lead Product Analytics Strategist — Flexible Work

Scribd, Inc.; New York (NY); On-site; USD 132,000 - 205,000; Full time

Benefits offered by this job

Scribd Flex

Health, dental, vision

Paid time off

Parental leave

Equity

Learning & development

Wellness stipend

AI tools access

Job summary

Scribd, Inc. is seeking a Senior or Lead Data Analytics professional to build measurement for content understanding, classification accuracy, and enrichment impact on discovery.

You will partner with Product, Engineering, ML, and Data Science to size opportunities, define KPIs, run experiments, and translate insights into actionable recommendations for leadership. Mentoring at the Lead level is also expected.

Strong SQL, Python/R, and experience with Databricks and Looker/Tableau are preferred.

Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science, or equivalent practical experience.
• 4+ years of experience in product analytics or a closely related role for Senior, or 7+ years for Lead, with a record of influencing product or business decisions.
• Experience turning ambiguous, loosely defined questions into analysis that changed a decision, in areas where data is sparse or metrics did not yet exist.

Responsibilities

• Build measurement for content understanding. Define how we measure classification and metadata coverage, accuracy, and the effect of enrichment on discovery and engagement.
• Own analytics for content supply and generate insights on where the corpus falls short: size the gap between user demand and the corpus, estimate the value of closing it, and help prioritize where to invest.
• Partner with Product Managers on strategy and roadmap. Translate product bets into success and guardrail metrics, size opportunities, and make trade-offs explicit.
• Design and read experiments (A/B tests and other methods) for content-related product changes, from hypothesis through analysis and readout.
• Define and maintain the KPIs, metric definitions, and dashboards for the content domain, and work with Analytics Engineering and Data Engineering on instrumentation and data quality so that metrics stay consistent over time.
• Investigate discontinuities and anomalies in content data, and separate real changes in user behavior from pipeline, definition, or instrumentation changes.
• Use AI-assisted workflows to speed up analysis and reporting, document how results are validated, and keep AI tools grounded as definitions change.
• Present findings and recommendations to product, engineering, and executive audiences, including in regular metrics reviews.
• At the Lead level: set analytical standards for the area and mentor other analysts.

Skills

Advanced SQL

Python or R

Databricks

Looker/Tableau

AI in analytics

Experimentation (A/B)

Metrics definition

Product analytics collaboration

Strong communication

Education

Bachelor's degree in quantitative field

Tools

Databricks

Looker

Tableau

Job description

Scribd, Inc. is seeking a Senior or Lead Data Analytics professional to build measurement for content understanding, classification accuracy, and enrichment impact on discovery.

You will partner with Product, Engineering, ML, and Data Science to size opportunities, define KPIs, run experiments, and translate insights into actionable recommendations for leadership. Mentoring at the Lead level is also expected.

Strong SQL, Python/R, and experience with Databricks and Looker/Tableau are preferred.