Lead Product Analyst - AI-Driven Content Analytics

Scribd, Inc.; Austin (CO); On-site; USD 127,000 - 206,000; Full time

Benefits offered by this job

Scribd Flex (flexible work model)

Comprehensive health, dental, and vis​

Paid time off and holidays

Parental leave and family support

Retirement matching and equity

Job summary

Scribd, Inc. is seeking Senior or Lead Data Analytics to own analytical workstreams and set measurement strategy for content understanding. You will work with product, engineering, ML, and analytics partners to drive data-driven decisions.

Responsibilities include building content metrics, partnering on strategy, designing experiments, and mentoring analysts. Strong SQL, Python/R, Databricks, and BI tool experience are required.

Qualifications

• 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.
• Experience with opportunity sizing, segmentation, or business and go-to-market analysis, such as market sizing, pipeline prioritization, or ROI modeling.
• Advanced SQL, and experience with Python or R for analysis and statistical work.
• Experience with a modern data warehouse such as Databricks, and with BI tools such as Looker or Tableau.
• Experience building AI into analytics workflows, such as LLM-assisted querying, analysis, or reporting, to move faster while checking answers against certified metrics or known results.
• Working knowledge of experimentation: A/B test design, hypothesis testing, and statistical analysis.
• A record of defining a metric, defending it under scrutiny, and revising it when its inputs change.
• Experience partnering with Product Managers and Engineers on strategy, roadmap, and measurement.
• Strong written and verbal communication, for both technical and non-technical audiences.
• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science, or equivalent practical experience.

Responsibilities

• Build measurement for content understanding.
• 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, using the same market sizing, segmentation, and ROI methods applied in go-to-market analysis.
• 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

SQL

Python/R

Databricks

Looker

Tableau

A/B testing

Metric definitions

Communication

Product analytics

Mentoring

Education

Bachelor’s degree in Statistics/Mathematics/Economics/CS

Tools

Databricks

Looker

Tableau

Job description

Scribd, Inc. is seeking Senior or Lead Data Analytics to own analytical workstreams and set measurement strategy for content understanding. You will work with product, engineering, ML, and analytics partners to drive data-driven decisions.

Responsibilities include building content metrics, partnering on strategy, designing experiments, and mentoring analysts. Strong SQL, Python/R, Databricks, and BI tool experience are required.