Lead, Product Analytics

About the Role

Key Responsibilities

• Help Cengage set up a world-class product analytics practice.
• Work with product and technology teams to assess customer needs.
• Use analytics tools such as Amplitude to tag the end-to-end digital experience.
• Collect relevant data and create metrics and insights from it.
• Collaborate with product owners to identify areas of the digital customer experience that need improvement.
• Set up A/B tests to evaluate customer responses to product changes.
• Measure the business value and customer satisfaction delivered by the digital product.
• Lead a team of analysts and data scientists, working with global partners on analytics and product tasks.
• Refine analytical capabilities within established businesses and bring standard methodologies to emerging ones.

Requirements

• Highly analytical with the ability to think through problems, business processes, and metrics.
• Ability to create, define, and implement a team vision and directive.
• High energy self-starter, comfortable acting as a player-coach.
• Ability to set clear expectations and coach team and peers in process improvement methodologies.
• Experience working with varied team members and groups at all levels.
• Bachelor's or Master's degree or equivalent experience with a foundation in statistical and data science concepts such as Machine Learning and Predictive analytics.
• 5+ years of analytics experience, including experience in Marketing Analytics and Data Science.
• Strong communication and interpersonal skills.
• Excellent attention to detail and structured problem-solving skills.
• Proficiency with analytic tools including relational databases, SQL, Excel, Python, and R.
• Ability to tell a clear story with data and translate findings into business and customer implications.
• Skilled in creating effective presentations tailored to different audiences.
• Knowledge of product analytics and digital marketing.

Nice to Have

• Experience with product analytics tools like Amplitude, Content Square, Adobe Analytics, etc.
• Experience working with on-premise and/or cloud analytics environments such as Hadoop, AWS, Snowflake, etc.
• Experience with data visualization and enablement tools like Tableau, Power BI, etc.
• Experience in creating and assessing A/B tests for continual optimization.
• Experience instructing others in analytical, statistical, and data science concepts.
• Experience using sampling techniques to monitor and analyze performance.

Benefits & Perks

• Comprehensive and rewarding Total Rewards package.
• Base pay range of $117,100.00 - $152,200.00 USD, with potential incentive compensation.
• Support for work schedule, qualifications, experience, internal equity, and geographic location.