Scribd
San Francisco
201-500 employees
The best audiobooks, books, and more, available anywhere. Join us on our mission to change the way the world reads.
Other Open Roles
Prior Listings
- Machine Learning Engineer - Recommendations
- Machine Learning Engineer
- Senior Product Manager, Content Data
- Senior Manager Data Engineering
- Director of Applied Research / Data Science
- Product Analyst, Account
- Senior Machine Learning Engineer (MLOps) - Applied Research
- Senior Machine Learning Engineer - Recommendations
- Senior Backend Engineer (Data pipeline and Metadata)
- Data Platform Engineer
- Senior Data Engineer
- Senior Backend Engineer (Data pipeline)
- Data Scientist
- Senior Applied Research Analyst
- Data Operations Manager
- Senior Manager Machine Learning
- Sr. Machine Learning Engineer
- Data Engineering Manager
- Data Analyst
- Senior Product Analyst/ Senior Data Scientist, Advertising
Senior Product Analyst (Lifecycle)
Senior Product Analyst (Lifecycle)
This job is no longer open
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.9 M subscribers in nearly every country worldwide.
Have you heard about our future of work program, Scribd Flex? As a key principle, we embrace flexibility and allow employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences. And, we create intentional in-person moments with each other that build culture and connection.
Scribd’s BSA team helps the company make data-centered decisions. In your role, you’ll be a central thought partner to our Customer Business Systems team, responsible for designing and implementing testing strategies, measuring outcomes, and making recommendations to reduce fraud exposure, chargebacks and transaction costs. Your recommendations will be central to guiding our team to grow revenue and increase the quality of the user experience
You Will:
• Collaborate with product managers, engineers, and designers to define key metrics and goals for product features and experiments.
• Design and implement experiments, including A/B tests, to evaluate the impact of product changes on key performance indicators (KPIs).
• Analyze and interpret complex data sets to derive actionable insights and identify areas of improvement for our product offerings.
• Develop and maintain reports, dashboards, and visualizations to track and communicate key product metrics and performance trends to stakeholders.
• Conduct deep-dive analyses to understand user behavior, conversion funnels, and customer segmentation to uncover opportunities for growth and optimization.
• Work closely with cross-functional teams to translate data insights into actionable recommendations, influencing product decisions and roadmaps.
• Mentor and guide junior analysts, sharing your expertise in statistics, data analysis, and product analytics best practices.
You Have:
• Proven experience (5+ years) in product analytics, preferably in a high-velocity product environment, with a track record of delivering impactful insights and driving growth.
• Expert knowledge of statistical analysis methods, experimental design, and hypothesis testing.
• Experience with A/B testing methodologies, funnel analysis, cohort analysis, and other advanced analytics techniques.
• Strong proficiency in data visualization tools like Looker, Tableau, or similar tools to share clear insights with stakeholders.
• Expertise in programming languages such as Python or R, as well as proficiency in SQL for data extraction and manipulation.
• Self-motivated, proactive, and able to work effectively both independently and collaboratively in a dynamic, fast-paced environment.
• Excellent communication and presentation skills, with the ability to convey complex findings and insights to non-technical stakeholders in a clear and actionable manner.
• Strong problem-solving skills and the ability to think critically, ensuring accuracy and attention to detail in all analyses.
• 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.
• Experience analyzing fraud incidences, chargeback frequency, transactions costs, or other ecommerce payments related issues a plus
At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $113,000 [minimum salary in our lowest geographic market within California] to $183,250 [maximum salary in our highest geographic market within California].
Outside of California, the reasonably expected salary range is between $93,000 [minimum salary in our lowest US geographic market outside of California] to $173,750 [maximum salary in our highest US geographic market outside of California].
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• 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 Diversity, Equity, & Inclusion programs
Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life
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We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Maryland, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico. *This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
#LI-Remote
This job is no longer open