Lead Product Analyst, Growth

Job not on LinkedIn

November 7

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $117k - $221k / year

⏰ Full Time

🟠 Senior

🔍 Product Analyst

🦅 H1B Visa Sponsor

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Scribd

WebsiteLinkedInAll Job Openings

eCommerce • Media • SaaS

Scribd is a digital document library offering access to over 195 million documents across various topics and niches. It serves as a platform for users to discover, upload, and share a diverse array of content, including academic papers, legal documents, manuals, and more. Through a subscription, users can enjoy an ad-free experience and have the ability to download documents for offline use. Scribd also includes access to Everand, which provides millions of ebooks, audiobooks, podcasts, magazines, and sheet music. Additionally, SlideShare within Scribd allows access to millions of community-uploaded presentations and professional documents. With its comprehensive library, Scribd caters to those seeking specialized knowledge and inspiration in nearly every field.

201 - 500 employees

Founded 2007

🛍️ eCommerce

📱 Media

☁️ SaaS

💰 $58M Private Equity Round on 2019-11

📋 Description

• Own end-to-end analytics for the signup, activation, retention, and cancellation funnels across Scribd’s brands, identifying friction points and opportunities for growth. • Lead event instrumentation and taxonomy strategy for the growth pillar, including defining event requirements, maintaining tracking documentation, and partnering with engineering to ensure accurate and consistent data collection to measure touchpoints within the signup flow and cancellation flow. • Design and execute end-to-end experimentation frameworks to measure and optimize growth initiatives across the funnel, including hypothesis generation, test design, metric definition, analysis, and readouts. Partner with Data Science and Product to establish experimentation best practices, set success thresholds, and ensure statistical rigor in all A/B tests • Collaborate with Product, Lifecycle, and Data Engineering teams to design experiments, define success metrics, and measure the impact of product and marketing initiatives. • Build and maintain scalable dashboards and reporting frameworks in Looker and Databricks to track growth KPIs such as signups, trial conversion, bill-through rate, churn, and LTV • Partner with Growth PMs to identify and prioritize opportunities through funnel and cohort analyses, experimentation, and user behavior insights • Support scenario planning and impact sizing for key growth initiatives, helping quantify potential outcomes, model tradeoffs, and inform prioritization decisions across acquisition, activation, and retention efforts • Ensure data quality and governance across tracking systems, improving event coverage and visibility for key flows • Mentor analysts and help establish best practices for product analytics, experimentation, and taxonomy management

🎯 Requirements

• 3+ years of experience in product or growth analytics, ideally within a high-velocity, subscription-based, or consumer-facing environment • Advanced proficiency in SQL and Python or R for data querying, analysis, and experimentation support • Deep hands-on experience with BI and analytics tools such as Looker, including building and optimizing dashboards, maintaining LookML models, and establishing data governance standards • Experience with data warehouses such as Databricks, including proficiency in data modeling, performance optimization, cost management, and collaboration with data engineering to maintain efficient and reliable pipelines • Proven experience defining event schemas, designing tracking taxonomies, and collaborating with engineering on instrumentation • Solid knowledge of A/B testing design, hypothesis testing, regression analysis, and funnel analysis, with a demonstrated ability to translate results into actionable recommendations. • Experience designing and analyzing incrementality testing to measure true growth impact across experiments, campaigns, and lifecycle initiatives • Experience with Customer Data Platforms (CDPs) such as Segment, mParticle, or RudderStack • Excellent communication and presentation skills, with the ability to translate complex findings into clear, actionable recommendations • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A Master's degree is a plus.

🏖️ Benefits

• 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.