Analyst-Global Reengineering
American Express · Posted Oct 12
Banking, credit card, payment network, and travel services
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About the role
The role sits within American Express Global Operations, extending support to build automated solutions, enable AI implementation in Backoffice Operations, and manage day-to-day data and reporting. The work spans smart dashboards, AI and automation driven solutions, and best-in-class MIS and analysis across the transaction lifecycle. The Analyst will deliver decision support and business insights to TCE leaders through advanced statistical techniques, data mining, and reengineered reporting.
What you will do
- Provide Analytical & Decision Support to organization through advanced Statistical techniques and Data mining
- Craft a compelling PowerPoint narrative that effectively communicates your analysis to stakeholders, ensuring that it is easily comprehensible.
- Translation of complex analytical output into easily digested insights with clear recommendations
- Identifying opportunities for new automated & custom reporting & analytics solutions around all areas transaction lifecycle
- Play a role of catalyst to enable AI adaption in Backoffice
- Acting as an SME on data front for all kind of Operational and SLT reporting
- Ensuring seamless delivery of daily/weekly/monthly reports with other adhoc activities and analysis
- Execute fact-based analysis that helps the Operations in taking decisions to improve process performance
- Partner and collaborate with teams and create insights/MIS that will help stakeholders to understand overall performance of servicing team
- Review and prepare monthly payout for Operational colleagues
- Drive insights from analytics and efficiencies by way of automation
- Develop advanced understanding of data sources and potential usage scenarios.
- Identify new technologies and capabilities that can advance and future proof analytical solutions.
- Maintain highest standards of productivity and ensure 100% quality and data accuracy
Skills used in this role
What the employer is looking for
- Strong LLM, SQL, Tableau, Python, SAS & Power BI skills are needed for reporting, automation, process improvement and monitoring processes
- Have strong understanding of AI and its applicability in Backoffice
- Excellent communication skills, both verbal and written
- High on integrity and personal accountability
- Be flexible and ready to work in a dynamic environment
- This role may be subject to additional background verification checks
- 3-6 years of overall experience and 3 years of related domain in Business Analysis.
- The Person should hold a Master's / Bachelor's Degree.
- Strong Communication Skills, Team Player and Ability to navigate through a matrix environment and manage multiple priorities simultaneously without close supervision.
- Ability to leverage technology to solve for reporting needs -Advance SQL, Power BI, Python/R, Cornerstone, Lumi, Hive etc.
- Extensive Exposure of MS tools advance MS Excel, PowerPoint, MS Access
- Data modelling experience is a must
Benefits and support
- 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
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
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