Senior Web Analytics & Insights Leader

SMB Business Development, Inc.

Newark (DE)

Hybrid

USD 90,000 - 130,000

Full time

8 days ago

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Benefits offered by this job

Competitive base salaries
Bonus incentives
Generous PTO & holidays
401k with employer match
Medical, dental, vision

Job summary

Sallie Mae is seeking a data analytics professional to drive insights across digital experiences, optimizing website performance and customer journeys. You will develop dashboards, forecasts, and measurement frameworks to empower strategic decisions, while collaborating with Marketing, Product, Technology, and UX teams to improve digital outcomes.

With 5–7 years in analytics and strong SQL/Adobe Analytics experience, you will translate data into actionable business recommendations and lead

Qualifications

  • Bachelor's Degree in Business, Finance, Economics, Statistics, Data Science, Computer Science, Marketing, Engineering, or a related field.
  • 5-7 years of progressive experience in web analytics, digital analytics, marketing analytics, or a related quantitative field (5+ years if holding a Master's Degree).
  • 5-7 years of hands‑on experience using SQL and Adobe Analytics to extract, transform, and analyze large datasets to generate strategic insights and performance reporting (5+ years if holding a Master's Degree).
  • Experience with enterprise web analytics tools such as Google Analytics, Heap, Contentsquare, or similar platforms.
  • Experience measuring website performance, customer journeys, conversion funnels, digital engagement, and online customer behavior.
  • Strong stakeholder management and communication skills, with the ability to present findings and recommendations to senior leaders.
  • Confidently and effectively handles multiple projects simultaneously and under tight deadlines.
  • Highly motivated, proactive, resourceful, and able to partner effectively across cross‑functional teams.
  • High attention to detail with the ability to identify discrepancies in data, reporting, and forecasting activities.
  • Demonstrated ability to translate complex data into actionable business recommendations.

Responsibilities

  • Creates, enhances, analyzes, and maintains reporting on website performance, digital customer journeys, conversion funnels, engagement metrics, and trends to support optimization efforts.
  • Develops dashboards and measurement frameworks to support strategic decision-making.
  • Manages forecasting processes and provides relevant insights to stakeholders.
  • Provides actionable recommendations based on customer behavior patterns and performance trends.
  • Partners with stakeholders to identify key business questions and opportunities for analysis.
  • Proactively identifies opportunities to improve customer experience and digital performance.
  • Serves as a subject matter expert for enterprise web analytics platforms and digital measurement strategies.
  • Provides leadership and guidance on analytics implementation, reporting best practices, and measurement frameworks.
  • Collaborates with Marketing, Product, Technology, UX, and other business teams to drive data-informed decisions.
  • Partners on experimentation strategies and measurement plans for website enhancements and optimization initiatives.

Skills

SQL
Adobe Analytics
Web analytics
Digital analytics
Marketing analytics
Stakeholder management
Communication
Project management
Attention to detail
Data storytelling

Education

Bachelor's Degree in Business, Finance, Economics, Statistics, Data Science, Computer Science, Marketing, Engineering

Tools

Google Analytics
Heap
Contentsquare

Job description

Sallie Mae is seeking a data analytics professional to drive insights across digital experiences, optimizing website performance and customer journeys. You will develop dashboards, forecasts, and measurement frameworks to empower strategic decisions, while collaborating with Marketing, Product, Technology, and UX teams to improve digital outcomes.

With 5–7 years in analytics and strong SQL/Adobe Analytics experience, you will translate data into actionable business recommendations and lead

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