Data Analyst, Marketing

Cengage Group • Virtual US OH, OH

2d • $77,100 - $123,300

About The Position

Cengage is seeking a data-driven analytics professional to use data insights to inform marketing strategies, optimize strategic investments, and support business growth. The role analyzes user and customer behavior, develops customer segmentation, creates dashboards and reports, designs experiments, and establishes consistent organizational metrics and reporting practices. The position works cross-functionally with product, marketing, sales, business, and UX teams to monitor performance across the user journey and communicate actionable findings.

The posting refers to the role as a “Product Analytics Scientist,” while the supplied job title is “Data Analyst, Marketing.”

Requirements

• Bachelor's degree or equivalent experience.
• 3–6 years of data analytics experience in marketing or product analytics, preferably in a digital-first environment.
• Proficiency with analytics tools such as Amplitude, Google Analytics GA4, or Adobe Analytics, and data visualization platforms such as Power BI or Salesforce.
• Strong analytical skills and ability to translate sophisticated data into actionable insights and communicate complex insights to cross-functional collaborators.
• Proficiency in querying data, data visualization, and advanced database modeling.

Nice To Haves

• Hands-on experience with GA4, Google Tag Manager, and advertising platforms such as Facebook Ads and Google Ads.
• Familiarity with experimentation platforms and A/B testing methodologies.

Responsibilities

• Analyze user and customer behavior and interactions to identify trends, segment differences, and preferences that can improve engagement, conversion rates, and outcomes.
• Collaborate with sales, marketing, business, and product teams to develop and refine customer segmentation within funnels using behavioral and engagement data.
• Build and maintain dashboards and reports that provide transparent, accessible, and useful data.
• Design and implement experiments to improve efficiency, drive growth, and inform investment decisions.
• Partner with product, marketing, sales, and UX teams to define meaningful metrics and build dashboards to monitor performance across the user journey.
• Establish consistent definitions, reporting practices, and calculation methods for critical organizational metrics.
• Provide collaborators with regular updates on significant insights, actionable suggestions, and data-informed goals.
• Investigate anomalous data, identify root causes, and find opportunities for optimization.
• Identify and recommend improvements to data sources and critical metric definitions.
• Use data-mining tools, including GA4 and Amplitude, to track performance and ensure accurate, timely reporting.

Benefits

• Eligible to participate in the company's discretionary incentive bonus program; the annual individual target is 10%, is not guaranteed, and depends on individual performance and overall company results, among other factors.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level