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Financial Systems Analyst I
American Express. Participate as a key member of the RRQA Analytics & Insights team supporting design, development, implementation, and continuous enhancement of data analytics .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, regulatory reporting, and risk management, with a strong ability to translate complex data into actionable insights. Proficient in developing dashboards and reporting solutions using advanced analytical techniques and tools.
Highest-signal resume keywords
Data Analytics DevelopmentRegulatory ReportingData Visualization ToolsAnalytical Problem-SolvingSQL Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsData VisualizationSQLPythonDashboard DevelopmentData Quality AssessmentStatistical AnalysisRisk ManagementControl FrameworksData Querying
Soft Skills
Analytical SkillsProblem-SolvingCommunication SkillsCollaborationPresentation Skills
Tools & Technologies
TableauPower BIMicrosoft ExcelMicrosoft PowerPointGenAI
Certifications & Qualifications
CPACIACISACAP
Industry Keywords
Quality AssuranceAuditFinancial ServicesRegulatory ComplianceData Governance
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Participate as a key member of the RRQA Analytics & Insights team supporting design, development, implementation, and continuous enhancement of data analytics
- Design, develop, test, and maintain data analytics, dashboards, and reporting solutions for the Regulatory Reporting QA program
- Analyze large and complex datasets to identify trends, anomalies, control gaps, and emerging risks
- Translate business requirements, risks, controls, and data into effective analytical solutions
- Support new analytics opportunities that improve QA coverage, automate manual activities, and increase program maturity
- Validate data sources, perform data quality assessments, and document analytics
- Collaborate with QA, regulatory reporting, technology, data governance, service management, and other teams
- Evaluate and apply emerging technologies and advanced analytical techniques such as GenAI
- Communicate analytical findings and recommendations through visualizations, reporting, and presentations
- Expand knowledge of regulatory reporting, risk and control frameworks, data analytics, and industry best practices
Requirements
What you’ll need- 3+ years of relevant experience in quality assurance, audit, risk management, regulatory reporting, technology, data analytics, and/or other financial services functions
- Hands-on experience developing analytics using data visualization and business intelligence tools (e.g., Tableau, Power BI, or similar platforms)
- Ability to translate business requirements, risks, controls, and processes into analytical solutions and actionable insights
- Strong analytical and problem-solving skills, with the ability to analyze complex data, identify trends, and recommend practical solutions
- Strong written and verbal communication skills, including the ability to clearly communicate analytical findings to both technical and non-technical audiences
- Proficiency with Microsoft Excel and PowerPoint
- Bachelor's degree in a quantitative or related field (e.g., Analytics, Finance, Accounting, Statistics, Engineering, Computer Science, Information Systems)
- Preferred: 2+ years of hands-on experience designing, developing, testing, and maintaining analytics supporting quality assurance, audit, risk management, regulatory reporting, or financial services functions
- Preferred: Experience with SQL, Python, or similar programming and data querying languages
- Preferred: Experience developing dashboards, automated reporting, data visualizations, or continuous monitoring solutions
- Preferred: Familiarity with GenAI and its application to data analytics, quality assurance, and risk management
- Preferred: Experience with large and complex datasets
- Preferred: Advanced degree in a quantitative or related field
- Preferred: Relevant professional certifications such as CPA, CIA, CISA, or CAP
Benefits
Comp & perks- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities