Lead Analyst

Enable data-driven decision-making across Global Supply Management (GSM) by delivering actionable insights, predictive analytics, reporting visualizations and analytical automation. Support strategic vendor decisions, savings, risk management, efficiency, service quality and transparency through analytical tools and AI.

• 2+ years of experience in analytics.

• Bachelor s or Master s degree relevant to the industry; additional credentials are a plus.

• Strong analytical aptitude and experience with Tableau, SQL and Alteryx.

• Strong functional knowledge of procurement processes, including AS-IS and TO-BE process models.

• Excellent visual design skills and sensitivity to user-system interaction, including complex multi-panel interactive dashboards.

• Strong communication skills, with the ability to explain complex ideas clearly to a global audience.

• Awareness of AI/ML and GenAI concepts, prompt design and responsible AI practices; willingness to learn and apply approved AI tools.

Data analytics and business insights

• Translate unstructured business requests into analytical strategies and actionable insights.

• Perform analysis and research on strategic priorities using best-in-class analytical approaches, including predictive analysis, statistical modelling and data mining.

• Deliver ad-hoc analysis and clear presentations of results, including visualizations and MIS for senior leadership.

• Collaborate with analytical teams across American Express business units, using internal and external data sources to generate insights.

Analytics tools, automation and data quality

• Drive analytical capabilities within GSM and business units using cognitive and analytical tools and technologies.

• Enhance data collection procedures to capture information relevant to analytical systems.

• Process, cleanse and verify data integrity for analysis; create automated anomaly-detection systems and monitor their performance.

• Deliver high-quality, accurate analytical outputs on time, with close attention to detail.

AI and GenAI enablement

• Identify practical AI and GenAI opportunities for procurement analytics, insight generation, summarization and workflow efficiency.

• Support proofs of concept using approved AI tools and analytical technologies; evaluate accuracy, usefulness and business impact with stakeholder validation.

• Apply responsible AI principles, including data privacy, security, human review and appropriate governance when using AI-assisted outputs.

• Collaborate with business and technology partners to integrate validated AI-assisted insights into dashboards, reporting and repeatable processes.

Solution design and stakeholder collaboration

• Conduct feasibility studies and proofs of concept to validate functional specifications and translate them into technical specifications.

• Assess existing environments, identify opportunities and recommend alternative solutions to technical problems.

• Translate requirements into concepts and user-experience designs in partnership with stakeholders and business partners.

• Understand procurement processes and support translation of AS-IS processes into TO-BE models.