Lead Product Analyst - Premium Job at Scribd (San Francisco)

Job Description

The Lead Product Analyst, Premium will play a critical role in shaping how we understand, measure, and optimize the end-to-end product experience across Scribd’s Premium portfolio, including the Everand and Fable apps. You are a strategic, technically strong analytics leader who partners deeply with Product Managers to influence product direction, experimentation strategy, and measurement frameworks. You bring a strong point of view on experimentation, instrumentation, and metric design, and understand how to connect user behavior to business outcomes in subscription-based products. You are equally comfortable defining analytics foundations (event standards, tracking taxonomies, data quality) and synthesizing insights into clear narratives that guide decision-making. You act as a trusted thought partner to PMs, helping teams stay aligned on what success looks like and how progress is measured across both apps.

Job Responsibility

Own end-to-end product analytics for the Premium experience across Everand and Fable, spanning activation, engagement, monetization, retention, and cancellation
Serve as a strategic thought partner to PMs, influencing product strategy through experimentation insights, funnel analysis, and feature-level measurement
Design and lead end-to-end experimentation frameworks for Premium initiatives, including hypothesis generation, test design, metric definition, analysis, and executive-ready readouts
Partner with Product and Data Science to establish experimentation best practices, success criteria, and statistical rigor, including the use of external experimentation platforms (e.g., Statsig or similar)
Define and maintain standardized instrumentation and event taxonomy frameworks across Premium surfaces, partnering closely with Engineering to ensure consistent, high-quality data collection
Measure and evaluate the performance of new feature launches through clear input and output metrics, post-launch analysis, and iteration recommendations
Build and maintain scalable dashboards and reporting frameworks in Looker and Databricks to track Premium health, product KPIs, and weekly business metrics
Conduct deep-dive funnel, cohort, and behavioral analyses to identify friction points and opportunities across both apps
Track progress against key product goals, ensuring alignment between inputs (feature adoption, engagement signals) and outputs (retention, revenue, LTV)
Present insights regularly in metrics forums and product reviews, helping teams maintain a shared, end-to-end view of Premium performance
Ensure data quality, governance, and visibility across tracking systems, improving confidence in decision-making
Mentor analysts and help establish best practices for product analytics, experimentation, and measurement standards across the Premium pillar

Requirements

3+ years of experience in product analytics, ideally within a consumer-facing or subscription-based product environment
Advanced proficiency in SQL and Python or R for data analysis, experimentation support, and insight generation
Strong experience with experimentation design and analysis, including hands-on use of external experimentation platforms (e.g., Statsig or similar tools)
Deep experience building and maintaining dashboards in BI tools such as Looker, including working with LookML and defining trusted metrics
Experience working with modern data warehouses such as Databricks, including collaborating with Data Engineering on modeling, performance, and reliability
Proven experience defining event schemas, instrumentation standards, and tracking taxonomies in partnership with Engineering teams
Strong understanding of funnel analysis, feature measurement, cohort analysis, and post-launch evaluation
Ability to synthesize complex analyses into clear, actionable insights and communicate them effectively to PMs, engineers, and leadership
Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics (Master’s degree a plus)

What we offer

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products
Referral Bonuses
Book Benefit
Sabbaticals
Company-wide events
Team engagement budgets
Vacation & Personal Days
Paid Holidays (+ winter break)
Flexible Sick Time
Volunteer Day
Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace
Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation

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Lead Product Analyst - Premium

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