American Express

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.
<h2>Data analytics and business insights</h2>
<ul>
<li>Generate actionable insights using advanced analytics and information-visualization techniques to solve business problems.</li>
<li>Analyze procurement, spend, supplier, invoice, purchase-order and card-related data to identify trends, anomalies and improvement opportunities.</li>
<li>Validate, interpret and present findings to technical and non-technical stakeholders, including senior leadership.</li>
</ul>
Analytics engineering and automation
<ul>
<li>Develop, maintain and optimize solutions using Python, PySpark, SQL/HQL, BigQuery and Alteryx.</li>
<li>Automate data preparation, mapping, reconciliation, notifications, monitoring, reporting and repeatable BAU workflows.</li>
<li>Own scheduled jobs and production use cases, including deployment, validation, troubleshooting, documentation and service continuity.</li>
</ul>
AI and GenAI enablement
<ul>
<li>Identify and deliver practical AI and GenAI use cases for analytics, anomaly detection, knowledge retrieval, summarization and process productivity.</li>
<li>Apply prompt-engineering fundamentals and responsible AI practices, including human validation, data privacy, security, fairness and transparency.</li>
<li>Use Python and approved AI tools to prototype, evaluate and operationalize business solutions; define success measures and monitor output quality.</li>
</ul>
Data platforms, migration and governance
<ul>
<li>Support migration of analytical codes, dashboards, data assets and ingestion processes to cloud platforms such as Lumi/BigQuery.</li>
<li>Perform feasibility assessments, impact analysis, UAT/DVT, reconciliation, root-cause analysis and business sign-off support.</li>
<li>Maintain SOPs, process guides, control checks, data lineage, access dependencies and governance documentation.</li>
</ul>
Reporting, controls and stakeholder management
<ul>
<li>Own or support critical reporting and mapping processes, including spend analytics, supplier analytics and compliance monitoring.</li>
<li>Design and maintain KRIs, governance checks and automated alerts for data or process anomalies.</li>
<li>Partner with business, product, technology, compliance and operations teams; lead requirement gathering, knowledge transfer and user enablement.</li>
</ul>
<h2>Required skills and qualifications</h2>
<ul>
<li>Bachelor’s degree in engineering, computer science, statistics, mathematics, business analytics or a related field.</li>
<li>4–5 years of relevant experience in data analytics, business intelligence, reporting automation or analytics consulting.</li>
<li>Strong procurement process and business knowledge; experience with P2P or spend analytics is preferred.</li>
<li>Strong hands-on knowledge of Python, Pandas, PySpark, SQL/HQL and cloud data warehouses such as BigQuery.</li>
<li>Strong Alteryx capability covering workflow development, data blending, transformation, validation, optimization and scheduling.</li>
<li>Working knowledge of AI/ML and GenAI concepts, prompt design, AI-assisted analytics, model/output evaluation and responsible AI controls.</li>
<li>Experience with Tableau capabilities, including dashboard development and interactive analytics; Power BI knowledge is an advantage.</li>
<li>Advanced Excel and PowerPoint skills, with strong analytical, troubleshooting and presentation capability.</li>
<li>Experience managing enterprise-level initiatives and enhancing or automating reporting structures.</li>
<li>Ability to work autonomously, make sound decisions under ambiguity and time pressure, and collaborate effectively across teams.</li>
<li>Excellent written and verbal communication skills, with the ability to explain technical findings to non-technical audiences.</li>
<li>Curiosity and willingness to learn new open-source technologies, languages and AI-enabled methods.</li>
</ul>
Preferred experience
<ul>
<li>Cloud analytics platforms, code repositories, deployment pipelines and scheduled workflow management.</li>
<li>Data migration, cutover, UAT/DVT, reconciliation and production stabilization.</li>
<li>Data privacy, PII handling, access governance, controls and compliance reporting.</li>
<li>Process documentation, SOP creation, transition planning and hands-on knowledge transfer.</li>
</ul>
Success measures
<ul>
<li>Reliable continuity of critical reporting, mapping and monitoring processes.</li>
<li>Measurable reduction in manual effort through Python, Alteryx and AI-enabled automation.</li>
<li>Accurate, well-governed and timely analytical outputs with clear validation evidence.</li>
<li>Successful migration and stabilization of data assets, codes and dashboards.</li>
<li>Clear documentation, effective stakeholder communication and sustainable knowledge transfer.</li>
</ul>

GCP Analyst - Finance

GCP Analyst - Finance

This job is no longer available

Talents

Recruiters

About