Analyst - Finance Data Capability

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Description

This role supports the Finance Data Capability team at the intersection of Finance, Data, and AI, assisting in transforming finance data into a scalable, insight-driven asset. It contributes to building standardized data structures, faster insights, and improved decision-making. The role primarily assists senior analysts in executing data, analytics, and AI initiatives, while supporting adoption of GenAI, automation, and modern data platforms. It helps enable an AI-driven finance ecosystem through structured execution and continuous improvement.

Job Overview And Responsibilities

• Support Enterprise-Wide Data Standards, Analytics, Insights & AI
• Assist senior analysts on data process improvement and standardization
• Work with finance datasets for preparation and validation
• Support GenAI solutions (copilots, automation scripts)
• Build dashboards with AI-driven insight
• Support data quality and AI-based anomaly detection
• Document data logic for scalable AI usage
• Maintain and validate finance data mappings, while exploring AI-assisted reconciliation, mapping and automation
• Support finance data governance by defining data quality rules and partnering on controls and lineage, and exception handling
• Support financial transformation initiatives
• Support project execution and tracking
• Support delivery of transformation initiatives (milestones, timelines, reporting), while piloting AI-enabled process automation
• Identify AI and automation opportunities
• Contribute to business cases by quantifying impact from AI, automation, and improved data architecture
  
  

• Bachelor's degree
• Information Systems, Computer Science, Data Science, Finance, Accounting, or related field
• 2+ years of finance and/or technology experience
• Experience in Finance Analytics, Data Analytics, Finance Systems, or Technology Transformation
• Strong expertise in finance data, reporting, analytics, data modeling, and master data governance
• Experience working with large, complex datasets using platforms such as Databricks, Snowflake, Foundry, SQL Server, or similar
• Hands-on experience with Power BI and/or Tableau for reporting and visualization
• Must have working knowledge of Oracle EDM, complimentary would be Oracle ERP, Oracle EPM
• Strong proficiency in SQL and data analysis.
• Experience using Python for analytics, automation, or process improvement
• Experience with Alteryx or similar ETL/data transformation tools
• Familiarity with GenAI tools (e.g., Copilot, ChatGPT), AI-assisted analytics, and agentic workflows/intelligent automation
• Excellent verbal and written communication skills, with the ability to present complex information to both finance and non-finance stakeholders
• A highly motivated individual with a strong understanding of how people, processes, data, and technology work together to produce a strong and sustainable capability
• Ability to work independently with minimal guidance needed
  
  

• Master's degree
• Masters in Analytics/Data Science
• Experience in airline or similar industry
• Experience with PMO/project management tools such as Smartsheet, JIRA, or similar platforms
• Understanding of finance data standards, governance, controls, and business processes across domains such as GL, AP, AR, FP&A, and Treasury
• Experience establishing or driving data definitions, business rules, and reporting standards across functions.
• Exposure to cloud-based data and analytics architectures (e.g., AWS Data Lake, Azure, or similar platforms)