Senior Associate, Data Analytics

About the Role

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. We’re looking for people who are excited to drive transformation, break barriers, and think of new ways to adapt, help, and create better experiences for students—and for each other.

Responsibilities

• Support the analytics team in conducting data analysis, modeling, and reporting to deliver insights and recommendations.
• Gather, 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.

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.

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

Qualifications

• Minimum:
  • Bachelor's degree in mathematics, statistics, economics, computer science, or related field (preferred).
  • 3 years of experience in analytics or related field (preferred).

Benefits

Our benefits take care of the whole you—so you can build your work around your life (not the other way around!).

• 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