Remote Senior Analytics & Business Insights Advisor

Pathward, N.A.; United States; 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 and enhance reporting capabilities.

You will develop and refine analyses, forecast accuracy, and operational planning to maximize performance, partnering with business units to deliver trusted insights. You will create daily, weekly, monthly and quarterly reporting packages, standardize data definitions, reduce manual work, and drive data quality and availability.

Qualifications

• Advanced expertise in data visualization and data modeling.
• Champion for intuitive analytics and best practices.
• Trusted advisor across business and technical teams.

Responsibilities

• Aligns data solutions with business strategy and reporting needs.
• Develops and maintains daily, weekly, monthly reporting packages.
• Refines historic and forward-looking metrics for decision making.
• Identifies opportunities for process improvement and standardization.
• Defines data element standards and supports data quality initiatives.
• Collaborates with internal/external partners to gather data.
• Crafts ad hoc reports via custom queries.
• Supports deployment of technology solutions to reduce manual work.

Skills

Data visualization

Data modeling

Analytical thinking

Business partnering

End-user adoption

Education

Bachelor’s degree or equivalent experience

Master’s preferred

Tools

SQL

Power BI

Excel

Tableau

Job description

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

You will develop and refine analyses, forecast accuracy, and operational planning to maximize performance, partnering with business units to deliver trusted insights. You will create daily, weekly, monthly and quarterly reporting packages, standardize data definitions, reduce manual work, and drive data quality and availability.