Drive business value through procurement and spend analytics, cloud-based data solutions, reporting automation, AI-enabled insights, and strong data governance. The role combines hands-on technical delivery with business analysis, stakeholder engagement, migration support, validation, and production ownership.

Responsibilities

Data analytics and business insights

- 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.

Analytics engineering and automation

- 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.

AI and GenAI enablement

- 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.

Data platforms, migration and governance

- 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.

Reporting, controls and stakeholder management

- 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.





Qualifications

Required skills and qualifications

- 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 current open-source technologies, languages and AI-enabled methods.

Preferred experience

- 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.

Success measures

- Reliable continuity of critical reporting, mapping and monitoring processes.
- Measurable reduction in manual effort through Python,



Alteryx and AI-enabled automation.
- Accurate, well-governed and timely analytical outputs with clear validation evidence.
- Successful migration and stabilization of data assets, codes and dashboards.
- Clear documentation, effective stakeholder communication and sustainable knowledge transfer.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

- 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

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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