Scribd is hiring a
Analytics Engineer

Summary

Join Scribd as a Data Analytics Engineer and help transform vast amounts of data into actionable insights for the Discovery and User Generated (UGC) Pillars. Collaborate closely with various teams to understand complex business requirements, create accurate and efficient data models, and ensure data quality across all platforms.

Requirements

• Proven experience (2+ years) in analytics engineering, business intelligence or quantitative data analysis
• Highly analytical mindset with demonstrated ability to work through complex, ambiguous datasets
• Expert level proficiency in SQL with experience in data modeling
• Expertise in programming languages: Python and PySpark
• Strong proficiency in data visualization tools such as Tableau, Looker, or similar tools to create compelling dashboards and reports
• Self-motivated, proactive, and able to work effectively both independently and collaboratively in a dynamic, fast-paced environment
• Excellent communication skills, with the ability to convey complex issues and insights to both technical and non-technical stakeholders in a clear and actionable manner
• Strong problem-solving skills with the ability to think critically to ensure we are building accurate and attention to detail
• 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

Responsibilities

• Design, develop, and maintain advanced data models that support the Discovery and UGC pillars
• Collaborate closely with data scientists, analysts, product managers, and business stakeholders to understand complex business requirements and translate them into robust data solutions
• Create and optimize complex SQL queries and data transformations to support large-scale data analysis and reporting
• Collaborate with Data Engineers to implement, develop and maintain production data pipelines using our modern data stack
• Contribute to the development of our internal data platform, improving data accessibility and usability for the entire organization
• Create comprehensive documentation for data processes, models, and metrics to promote data literacy across the company

Preferred Qualifications

• Experience with version control systems (e.g., Git)
• Familiarity with agile development methodologies

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
• 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