Senior Associate, Data Analytics

Sallie MaeNewark, DE
1dHybrid

About The Position

When you join Sallie Mae, you become a champion for all students. We’re on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big. Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We’re changing. Because students need a better way. We’re looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students—and for each other. This is where diverse backgrounds, beliefs, and perspectives matter. It’s where you’re empowered to bring your authentic self to work. Feeling your best allows you to do your best. Our benefits take care of the whole you—from physical and mental to financial and professional. You’ll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more. We’re obsessed with impact and making a real difference. For us, that means putting relationships first, asking “why not?” when tackling challenges, and continuously learning new skills. Come do more than join something, change something. For students, for future generations, for the future of education. What You'll Contribute As the Senior Associate, Data Analytics, you will support our analytics initiatives, working closely with the analytics team to gather and analyze data, generate insights, and contribute to data-driven decision-making.

Requirements

  • Experience with SQL, Python, R, or other programming languages commonly used in analytics.
  • Strong attention to detail and ability to deliver high-quality work.
  • Excellent communication skills, with the ability to present complex data in a clear and concise manner to stakeholders at all levels of the organization.
  • Strong problem-solving and critical thinking skills.
  • Demonstrated ability to work collaboratively across departments and functions.
  • Familiarity with data visualization tools such as Tableau, Power BI, or similar.

Nice To Haves

  • Bachelor's degree in mathematics, statistics, economics, computer science, or related field.
  • 3 years of experience in analytics or related field.
  • Experience in e-commerce or retail analytics is preferred.

Responsibilities

  • Support the analytics team in conducting data analysis, modeling, and reporting to deliver insights and recommendations.
  • Gathering, clean, and prepare data for analysis, ensuring accuracy and consistency.
  • Develop models and forecasts to support business planning and decision-making.
  • Create presentations on findings and provide sound recommendations to leadership to influence strategic decision-making.
  • Create and maintain data documentation, data dictionaries, and standard operating procedures as needed.
  • Contribute to the continuous improvement of data quality and data management processes.

Benefits

  • Competitive base salaries
  • 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, pet insurance and more
  • 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 (for locations 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
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