GCP Analyst – Finance

American Express

. Generate actionable insights using advanced analytics and information-visualization techniques to solve business problems.

Posted 10/14/2026full-timeGurugram • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and business intelligence, utilizing Python, SQL, and Alteryx to generate insights and automate reporting processes. Proficient in collaborating with cross-functional teams to deliver AI-driven solutions while ensuring compliance and governance.

Highest-signal resume keywords

Python ProgrammingSQL/HQL ProficiencyAlteryx Workflow DevelopmentData Analytics and Reporting AutomationAI/ML Concepts and Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness IntelligenceReporting AutomationSpend AnalyticsData MigrationUAT/DVTRoot-Cause AnalysisData VisualizationPrompt EngineeringData Governance

Soft Skills

Effective CommunicationCollaborationProblem-SolvingCuriosityDecision-Making

Tools & Technologies

BigQueryTableauPower BIExcelPowerPointPySparkPandasCloud Analytics PlatformsAI ToolsDeployment Pipelines

Industry Keywords

Procurement ProcessP2PSpend AnalyticsCompliance MonitoringData PrivacyPII HandlingSOP CreationKnowledge TransferGovernance DocumentationBusiness Analytics

Tech Stack

Tools & technologies

BigQueryCloudPandasPySparkPythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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 experience with cloud analytics platforms, code repositories, deployment pipelines and scheduled workflow management.
Preferred experience with data migration, cutover, UAT/DVT, reconciliation and production stabilization.
Preferred experience with data privacy, PII handling, access governance, controls and compliance reporting.
Preferred experience with process documentation, SOP creation, transition planning and hands-on knowledge transfer.

Benefits

Comp & perks

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