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 like Amplitude to tag the digital experience, collect data, and create metrics and insights.
• Collaborate with product owners to identify areas of the digital customer experience that need improvement.
• Set up A/B tests to evaluate customer response to product changes.
• Measure business value and customer satisfaction delivered by digital products.
• Lead a team of analysts and data scientists, working with global partners on analytics and product tasks.
• Bring strategic process thinking and continual improvement to Cengage's global businesses.

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.
• 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 marketing analytics and data science.
• Strong communication and interpersonal skills.
• Excellent attention to detail and structured problem-solving skills.
• Proficiency with analytic tools like SQL, Excel, Python/R.
• Ability to tell a clear story with data and translate insights into business and customer implications.
• Experience with product analytics tools like Amplitude, Content Square, Adobe Analytics (preferred).
• Experience with cloud/on-premise analytics environments such as Hadoop, AWS, Snowflake (preferred).
• Experience with data visualization tools like Tableau, Power BI (preferred).
• Experience in creating and assessing A/B tests (preferred).
• Experience instructing others in analytical, statistical, and data science concepts (preferred).

Nice to Have

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

Qualifications

• Bachelor's or Master's degree or equivalent experience.
• Foundation in statistical and data science concepts such as Machine Learning and Predictive analytics.
• 5+ years of analytics experience, including marketing analytics and data science.

Benefits & Perks

• Comprehensive and rewarding Total Rewards package.
• Base pay range of $117,100 to $152,200 USD, with potential incentive compensation.
• Support and empowerment for employees through various programs, benefits, and initiatives.