Analytics Advisor: Data Visualization & Strategy (Hybrid)

Pathward, N.A.; Sioux Falls (SD); Hybrid; USD 86,000 - 145,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement benefits

Life insurance

Disability benefits

Paid time off

Job summary

Pathward, N.A. is seeking a senior data analytics professional to align technology solutions with business strategies, improve reporting capabilities, and refine forecasting accuracy.

The role focuses on maintaining reports, improving data quality, and partnering with teams to drive decisions. Requires 8+ years of related experience (5+ in Payments), a Bachelor's degree or equivalent, and strong data visualization and modeling skills.

Qualifications

• Distinguished by advanced expertise in data visualization, data modeling, and end-to-end analytical solution design.
• Champions intuitive, trusted analytics and translates complex needs into scalable solutions.
• Promotes responsible self-service analytics through engagement, education, and continuous improvement.

Responsibilities

• Aligns technology solutions with business strategies to improve reporting capabilities.
• Develops and maintains reports and models; supports data-driven decision making.
• Standardizes data definitions and drives data quality and availability across business lines.
• Creates ad hoc reports from the data repository and partners with internal/external teams.

Skills

Data Visualization

Data Modeling

Analytics Solution Design

Business Partnership

End-User Adoption

Education

Bachelor's degree or equivalent education and work experience

Master's degree preferred

Job description

Pathward, N.A. is seeking a senior data analytics professional to align technology solutions with business strategies, improve reporting capabilities, and refine forecasting accuracy.

The role focuses on maintaining reports, improving data quality, and partnering with teams to drive decisions. Requires 8+ years of related experience (5+ in Payments), a Bachelor's degree or equivalent, and strong data visualization and modeling skills.