Position Overview

The Data Analyst role is responsible for gathering data and providing insights on usage patterns and product consumption trends within the Books business.  The role works with the Books development team to extract usage data, consisting of millions of data interactions and usage records, and constructing meaningful and insightful reports and analysis on the titles that are accessed and used by the platform user base and customers.  The role consolidates and reports statics on trending titles, the most popular content and constructs algorithms to project consumption patterns of content assets so that the product team can make informed decisions on products to add or to retire.

Position Responsibilities

• Organizational Metrics and Reporting
  • Construct and maintain dashboard of key division statistics which include most popular titles, trending titles, distinct users, comparison of library vs. industry benchmarks such as Amazon, B&N and Inc. best seller lists
  • Analyze customer renewal and growth trends and provide associated reports
• Data and Trend Analysis
  • Provide analysis of key usage trend as per content topic, book titles, content asset (e-books, summaries vs. audio books)
  • Provide recommendations to product team of titles/assets to retire or add based on utilization data
  • Provide detailed insight of usage patterns by publisher and imprint
  • Provide usage patterns by customer group and product collection
  • Perform analytics around key search terms and content areas the users are
    searching for
  • Work with product marketing team to gather data from customer surveys and consolidate with other division reports
• Ad-Hoc Analysis
  • Perform additional product, imprint and publisher analysis as assigned
  • Consolidate data and industry benchmarks from third-party sources and incorporate with division-level reporting

Desired Skills and Experience

• 3-5 years’ experience in data-intensive analysis within a metric-driven business
• Proven mastery in business intelligence and analytics software such as MS Excel, MS Access, Tableau.  Experience with SQL and other query languages preferred
• Proven excellence in computational skills and mathematics
• Proven excellence in written and verbal communication required
• Highly organized and successful in managing multiple projects, setting aggressive deadline commitments and meeting them
• Self-starter, team player and have the ability to lead and work with cross-functional teams
• Ability to focus on detail while understanding how contributions align with the broader
  product strategy

Education and Certifications

Bachelor’s Degree preferred

Equal Opportunity Employer