Senior Data Analytics Associate: Drive Insights & Strategy

Mary Dickson; Newark (DE); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive base salaries

Bonus incentives

Generous PTO and holidays

401k with employer match

Medical, dental, vision coverage

Pet insurance

Job summary

Sallie Mae is seeking a Senior Associate, Data Analytics to support analytics initiatives and collaborate with the analytics team to drive data-driven decisions. You will gather and clean data, build models, and prepare forecasts to inform planning and strategy.

The role emphasizes rigorous data quality, clear communication to leadership, and cross-functional teamwork in a hybrid environment. A related degree and analytics experience are preferred.

Qualifications

• Experience with SQL, Python, R, or other programming languages used in analytics.
• Strong attention to detail and ability to deliver high-quality work.
• Excellent communication skills, ability to present complex data clearly to stakeholders.
• 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.

Responsibilities

• Support analytics initiatives, gathering and analyzing data, generating insights.
• Develop models and forecasts to support business planning and decision-making.
• Create presentations on findings and provide sound recommendations to leadership.
• Create and maintain data documentation, data dictionaries, and SOPs as needed.
• Contribute to data quality and data management processes.

Skills

SQL

Python

R

Attention to detail

Communication

Problem-solving

Collaboration

Education

Bachelor's degree in mathematics, statistics, economics, computer science, or related field

Tools

Tableau

Power BI

Job description

Sallie Mae is seeking a Senior Associate, Data Analytics to support analytics initiatives and collaborate with the analytics team to drive data-driven decisions. You will gather and clean data, build models, and prepare forecasts to inform planning and strategy.

The role emphasizes rigorous data quality, clear communication to leadership, and cross-functional teamwork in a hybrid environment. A related degree and analytics experience are preferred.