Associate, Data Analytics

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.

As the 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.

• Support the analytics team in conducting data analysis, modeling, and reporting to deliver insights and recommendations.
• Assist in gathering, cleaning, and preparing data for analysis, ensuring accuracy and consistency.
• Develop models and forecasts to support business planning and decision-making.
• Assist in presenting findings and recommendations to senior leadership to influence strategic decision-making.
• Assist in developing and maintaining data documentation, data dictionaries, and standard operating procedures.
• Contribute to the continuous improvement of data quality and data management processes.

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.

• 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.
• Experience in e-commerce or retail analytics is preferred.

• Bachelor's degree in mathematics, statistics, economics, computer science, or related field.
• 1+ years of experience in analytics or related field.

• 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

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 in all phases of the application and employment process. To request an accommodation please call 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.