Senior Manager, Marketing Analytics

When you join Sallie Mae, you become a champion for all students. Our Education Services team is a diverse group of growth‑obsessed entrepreneurs, data analysts, engineers, and developers with a passion for building scalable businesses that help students and families navigate their unique journey through higher education. We’re on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence.

• Serve as a strategic analytics partner to Education Services marketing, product, and advertising stakeholders, translating business questions into measurable frameworks, analyses, and actionable recommendations.
• Lead analytics support for our new advertising service, including measurement strategy, tracking implementation, and ongoing performance analysis.
• Own and evolve paid media measurement, ensuring accurate and scalable tracking, attribution approaches, and conversion measurement across channels.
• Move beyond standard reporting to deliver insights that drive optimization, experimentation, and informed decision‑making.
• Support owned and paid channel analytics across our website, with a strong focus on lead generation performance and funnel effectiveness.
• Leverage web analytics tools to analyze user behavior, conversion paths, and on‑site engagement.
• Connect campaign performance to on‑site behavior and business outcomes, enabling a holistic view of channel impact.
• Translate complex data into clear, compelling insights and narratives tailored to both technical and non‑technical stakeholders.
• Identify trends, opportunities, and gaps across channels to inform marketing strategy and investment decisions.
• Help define and maintain best practices and standards for channel and advertising analytics within a centralized analytics team.
• Continuously evaluate and improve event tagging, tracking processes, and reporting frameworks to enhance data quality, scalability, and performance insights.

• Bachelor’s degree in Marketing, Statistics, Data Science, Economics, Business, Analytics, or a related field;
  Master’s degree or MBA strongly preferred.
• Deep knowledge of marketing analytics methodologies, including attribution modeling, customer lifetime value (CLV), and cohort analysis.
• Advanced proficiency in SQL, knowledge of Snowflake, and experience with data visualization tools such as Tableau, Looker, or Power BI.
• Expertise in digital analytics platforms such as Heap, Adobe Analytics, or Google Analytics.
• Experience with digital marketing platforms such as Hub Spot, Meta Ads Manager, Google Ads, Salesforce, or similar.
• Strong communication skills with experience influencing executive stakeholders.
• Proven ability to manage cross‑functional teams and complex data projects in fast‑paced environments.

• 7+ years of experience in analytics, data science, or marketing analytics, with a strong focus on paid media, advertising, and channel performance.
• Experience with Google Tag Manager (GTM) for tag management and data layer setup.
• Experience with Python, R, SAS, or similar for statistical marketing modeling.
• Usage of SEO tools such as Google Search Console or Ahrefs.

• Competitive base salary
• Bonus incentives
• Generous PTO, floating holidays, and 12 federal holidays observed
• Support for financial‑well‑being and retirement (401k with employer match)
• Comprehensive medical, dental, vision, hospital indemnity, critical illness, and pet insurance
• Employer‑paid short‑term/long‑term disability and basic life insurance
• Flexible hybrid working arrangements
• Paid parental leave and adoption reimbursement programs
• Free access to on‑site staffed fitness centers (in Delaware) and gym subsidy (outside Delaware)
• Confidential counseling support (EAP), health advocacy services, and wellness program with financial incentives
• Tuition reimbursement and family scholarship programs
• Career development and training opportunities

Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, veteran status, or any other characteristic protected by federal, state, or local law.

Reasonable accommodations are available for applicants with disabilities. To request an accommodation, please call (855)756‑2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.