Senior Manager for Payments Data Analytics at FIS analyzing revenue opportunities and presenting insights. Collaborating with technology and data teams to enhance financial services.
About the role
- Audit Data Analyst II performing audit data analytics in collaboration with audit teams at USAA. Driving innovation in audit execution by leveraging data analytics solutions.
Responsibilities
- Implements data analytics approaches in support of internal audits
- Applies data-driven analytic capabilities to identify anomalies, outliers, emerging trends, and operational risks within assigned audits
- Applies analytical approaches to draw conclusions and make 'insight to action' recommendations to answer both audit/business objectives
- Translates recommendation into communication materials to effectively present to colleagues for peer review and senior/lead analysts
- Delivers analysis and findings to mid-level management, garners support for recommendations to assist in driving business decisions
- Assist the team in navigating within diverse environments to locate, validate, extract, and format data for data analysis testing
- Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements
- Builds knowledge in designing data visualizations with more complex tools to support analytical and reporting needs
- Assist and begins to build recurring and continuous reporting and automation solutions in various analytics tools (e.g., SQL or SAS) to support risk identification
Requirements
- Bachelor's degree in quantitative analytics, Economics, Finance, Statistics, Mathematics, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative subject area
- 2 years of data analytical experience to include visualization tools
- 1 year experience applying and working on data and analytics in an audit, risk, or similar controls environment
- 1 year SQL or SAS data programming experience
- Ability to understand and/or identify issues from a data perspective
- Experience communicating data to peers and business partners
- Experience working on business reporting or dashboards
- Experience developing operational reporting
- Experience in data processing, database programming, and/or data analytics
- Ability to develop data solutions that are efficient, effective, and essential.
Benefits
- comprehensive medical, dental and vision plans
- 401(k)
- pension
- life insurance
- parental benefits
- adoption assistance
- paid time off program with paid holidays plus 16 paid volunteer hours
- various wellness programs
- career path planning and continuing education
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