Lead Product Analyst (Content Supply & Understanding)
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 30, 2026.
Join Scribd, a leading digital library with over 400 million documents and 250 million monthly active users. As a Lead Product Analyst, you will support the Content Supply & Understanding team, which is responsible for managing Scribd's extensive library and ensuring content accessibility for users. You will work closely with various teams, including Product, Engineering, Machine Learning, Data Science, and Analytics Engineering. Your role will involve defining measurement strategies, conducting analyses, and presenting findings to key stakeholders.
Missions
- Lead analytical workstreams within the Content Supply & Understanding area, setting measurement strategies and tackling open-ended problems.
- Define and maintain KPIs, metric definitions, and dashboards for the content domain, ensuring metrics stay consistent over time.
- Partner with Product Managers on strategy and roadmap, translating product bets into success metrics and sizing opportunities.
Profil recherché
- You are at your best when the question is not yet well formed. You look at an incomplete picture, work out what matters, and produce an answer a product team can act on, with the limits of the evidence stated plainly- You are skeptical by default. When a metric moves sharply, your instinct is to find the field or pipeline that changed before you write the narrative
- You communicate early and plainly, and you write things down. Methodology and metric documentation are part of the deliverable
- You are equally comfortable as the strategist and the analyst. You can size an opportunity, model its return, write the SQL behind the metric, and defend the number in a room full of product and executive leaders
- You are pragmatic. You ask what the right next version is, and you use AI where it creates measurable value
- Experience with opportunity sizing, segmentation, or business and go-to-market analysis, such as market sizing, pipeline prioritization, or ROI modeling
- 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 a modern data warehouse such as Databricks, and with BI tools such as Looker or Tableau
- 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
- Working knowledge of experimentation: A/B test design, hypothesis testing, and statistical analysis
- Experience partnering with Product Managers and Engineers on strategy, roadmap, and measurement
- 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 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. You use AI where it creates measurable value
- A record of defining a metric, defending it under scrutiny, and revising it when its inputs change
- Advanced SQL, and experience with Python or R for analysis and statistical work
- Experience with content-heavy platforms such as marketplaces, catalogs, publishing, or user-generated content, including supply or content quality analytics
- Experience with classification, taxonomy, or metadata systems, or with search and recommendation, including evaluating ML or LLM outputs against labeled data
- Experience with experimentation platforms such as Statsig
- For Lead candidates: experience mentoring analysts and setting measurement standards for a product area