Hybrid Senior Data Analyst, Internal Audit

at American Family Insurance

• Job title: Senior Data Analyst, Internal Audit
• Job type: Full Time
• Experience level: Senior
• Salary: $80,000 - $131,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Madison, United States

About the role

• Senior Data Analyst conducting audit assignments using data analytics to evaluate internal controls for American Family Insurance. Collaborating with teams to enhance digital capabilities within auditing processes and drive business decisions.

Responsibilities

• Conducts accurate and timely business analysis and reporting to support and drive business decisions using statistical modeling and other business analysis tools
• Supports the identification and calculation of key performance metrics and key risk indicators within Internal Audit
• Collaborates with key stakeholders to identify and link key risk indicators at AmFam to the development of the audit plan
• Collaborates closely with Audit Teams to understand objective and scope of each audit engagement
• Identifies key areas and potential control tests where data and analytics can add value
• Leads initiatives to enhance digital and analytical capabilities of audit team members
• Collaborates with team members to integrate analytics into audit practices and foster a culture of continuous learning
• Collaborates with Internal Audit Leadership in the development and delivery of key performance metrics focused on operational excellence within Internal Audit
• Builds and maintains analytics used to project business results or proactively identify fraudulent scenarios
• Refines and enhances the models based on review of results and feedback received from business partners
• Analyzes and addresses data quality issues, tests and analyzes impact of system changes to data/reporting infrastructure
• Develops, tests, and deploys automated continuous auditing and monitoring solutions enabling the enterprise to identify and mitigate risks proactively

Requirements

• Demonstrated experience providing customer-driven solutions, support or service
• Solid knowledge and understanding of forecasting techniques or statistical analysis
• Demonstrated strong experience utilizing data tools to build complex formulas and create reports
• Understanding of software tools to query and report data
• Knowledge of a variety of standard reporting software packages and best practices for report deployment processes
• Demonstrated experience developing data sets
• Python and Power Bi experience are preferred

Benefits

• Comprehensive medical, dental, vision and wellbeing benefits
• Competitive 401(k) contribution
• Pension plan
• Annual incentive
• 9 paid holidays
• Paid time off program (23 days accrued annually for full-time employees)
• Student loan repayment program
• Paid-family leave