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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
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- 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
This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.
What’s needed to succeed (Minimum Qualifications):
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
What will help you propel from the pack (Preferred Qualifications):
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)
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