GCP Analyst - Finance
American Express · Posted Oct 14
Banking, credit card, payment network, and travel services
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About the role
The role sits within American Express finance-focused procurement and spend analytics, driving business value through cloud-based data solutions, reporting automation, AI-enabled insights and strong data governance. It works across procurement, spend, supplier, invoice, purchase-order and card data on cloud platforms such as BigQuery/Lumi, using Python, PySpark, SQL/HQL and Alteryx. This position combines hands-on technical delivery and analytics engineering with business analysis, migration support, validation and production ownership.
What you will do
- Generate actionable insights using advanced analytics and information-visualization techniques to solve business problems.
- Analyze procurement, spend, supplier, invoice, purchase-order and card-related data to identify trends, anomalies and improvement opportunities.
- Validate, interpret and present findings to technical and non-technical stakeholders, including senior leadership.
- Develop, maintain and optimize solutions using Python, PySpark, SQL/HQL, BigQuery and Alteryx.
- Automate data preparation, mapping, reconciliation, notifications, monitoring, reporting and repeatable BAU workflows.
- Own scheduled jobs and production use cases, including deployment, validation, troubleshooting, documentation and service continuity.
- Identify and deliver practical AI and GenAI use cases for analytics, anomaly detection, knowledge retrieval, summarization and process productivity.
- Apply prompt-engineering fundamentals and responsible AI practices, including human validation, data privacy, security, fairness and transparency.
- Use Python and approved AI tools to prototype, evaluate and operationalize business solutions; define success measures and monitor output quality.
- Support migration of analytical codes, dashboards, data assets and ingestion processes to cloud platforms such as Lumi/BigQuery.
- Perform feasibility assessments, impact analysis, UAT/DVT, reconciliation, root-cause analysis and business sign-off support.
- Maintain SOPs, process guides, control checks, data lineage, access dependencies and governance documentation.
- Own or support critical reporting and mapping processes, including spend analytics, supplier analytics and compliance monitoring.
- Design and maintain KRIs, governance checks and automated alerts for data or process anomalies.
- Partner with business, product, technology, compliance and operations teams; lead requirement gathering, knowledge transfer and user enablement.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in engineering, computer science, statistics, mathematics, business analytics or a related field.
- 4–5 years of relevant experience in data analytics, business intelligence, reporting automation or analytics consulting.
- Strong procurement process and business knowledge; experience with P2P or spend analytics is preferred.
- Strong hands-on knowledge of Python, Pandas, PySpark, SQL/HQL and cloud data warehouses such as BigQuery.
- Strong Alteryx capability covering workflow development, data blending, transformation, validation, optimization and scheduling.
- Working knowledge of AI/ML and GenAI concepts, prompt design, AI-assisted analytics, model/output evaluation and responsible AI controls.
- Experience with Tableau capabilities, including dashboard development and interactive analytics; Power BI knowledge is an advantage.
- Advanced Excel and PowerPoint skills, with strong analytical, troubleshooting and presentation capability.
- Experience managing enterprise-level initiatives and enhancing or automating reporting structures.
- Ability to work autonomously, make sound decisions under ambiguity and time pressure, and collaborate effectively across teams.
- Excellent written and verbal communication skills, with the ability to explain technical findings to non-technical audiences.
- Curiosity and willingness to learn new open-source technologies, languages and AI-enabled methods.
Preferred qualifications
- Cloud analytics platforms, code repositories, deployment pipelines and scheduled workflow management.
- Data migration, cutover, UAT/DVT, reconciliation and production stabilization.
- Data privacy, PII handling, access governance, controls and compliance reporting.
- Process documentation, SOP creation, transition planning and hands-on knowledge transfer.
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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