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Lead Product Analyst - Premium

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Scribd

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Location:
United States; Canada; Mexico , San Francisco ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

141500.00 - 221000.00 USD / Year
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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

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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