Manager, Analytics (Demand, Planning and Forecasting)

Sallie Mae; Newark (DE); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive base salary

Bonus incentives

Generous PTO & holidays

401(k) with employer match

Medical/dental/vision

Hybrid work arrangement

Parental leave

On-site fitness centers (Delaware)

Employee assistance program

Tuition reimbursement

Career development

Job summary

Sallie Mae is seeking a Manager of Data Analytics in Newark, DE, to lead a team of analysts and build analytical frameworks that drive growth and optimization. The role involves analyzing complex data, developing models and forecasts, and presenting actionable insights to senior leadership.

You will collaborate with cross‑functional teams, ensure data integrity, and stay current with industry trends to enable strategic decision‑making.

Qualifications

• Demonstrated ability to lead analytics projects and deliver insights and recommendations.
• Excellent communication skills to present complex data to stakeholders at all levels.
• Strong problem‑solving and critical‑thinking skills.
• Ability to work collaboratively across departments and functions.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Experience with SQL, Python, R, or other analytics languages.

Responsibilities

• Lead a team of data analysts to develop and implement analytical frameworks to uncover insights and improve business performance.
• Analyze complex data sets to identify patterns and trends that drive business growth.
• Develop models and forecasts to support business planning and decision‑making.
• Present findings and recommendations to senior leadership to influence strategic decision‑making.
• Collaborate with cross‑functional teams to understand business objectives and provide insights to inform strategies.
• Ensure data integrity and accuracy by monitoring data sources and implementing quality control processes.
• Stay up‑to‑date with industry trends and emerging technologies to drive innovation and continuous improvement.

Skills

Analytics leadership

SQL

Python

R

Tableau

Power BI

Education

Bachelor's or Master's degree

Tools

Tableau

Power BI

Job description

What You'll Contribute

As the Manager of Data Analytics, you will lead a team of data analysts to develop insights that drive business growth and optimization. You will analyze complex data, identify patterns and trends, and present findings to inform decision making at all levels of the organization.

What You'll Do

• Lead a team of data analysts to develop and implement analytical frameworks to uncover insights and improve business performance.
• Analyze complex data sets to identify patterns and trends that drive business growth.
• Develop models and forecasts to support business planning and decision‑making.
• Present findings and recommendations to senior leadership to influence strategic decision‑making.
• Collaborate with cross‑functional teams to understand business objectives and provide insights to inform business strategies.
• Ensure data integrity and accuracy by monitoring data sources and implementing quality control processes.
• Stay up‑to‑date with industry trends and emerging technologies to drive innovation and continuous improvement.

Requirements

• Minimum:
  • Demonstrated ability to lead and manage analytics projects and deliver high‑quality analytics insights and recommendations.
  • 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 with SQL, Python, R, or other programming languages commonly used in analytics.
• Preferred:
  • Bachelor's or Master's degree in mathematics, statistics, economics, computer science, or related field.
  • 5+ years of experience in prescriptive and predictive analytics, with at least 2 years of experience managing a team of analysts.
  • Experience in financial services, lending space.
  • Experience with leveraging GenAI for reporting and analytics.

Benefits

• Competitive base salaries
• Bonus incentives
• Generous PTO, floating holidays and 12 federal holidays observed
• Support for financial well‑being and retirement 401(k) 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

Americans With Disabilities Act

The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the essential functions of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing that function, or only a limited number of employees are available to perform that function.

EEO Statement

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 (855) 756‑2007 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.