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DescriptionThis role sits at the intersection of Finance, Data, and AI, enabling the transformation of finance data into a strategic, intelligence-driven asset. It supports the design, governance, and activation of finance data capabilities to deliver faster insights, improved decision-making, and scalable business value.

The role will drive adoption of modern data platforms, while actively exploring and embedding GenAI and agentic solutions to automate workflows, enhance analytics, and enable intelligent, self-service finance operations. Working closely with Finance and Digital Technology teams, this position contributes to building an AI-enabled finance ecosystem that is standardized, efficient, and future-ready.

Job Overview and Responsibilities

1. Support Enterprise-Wide Data Standards, Analytics, and Insights

Support cross-functional collaborations to assess and redesign finance data processes and technical landscapes, focusing on simplification, standardization, and end-to-end optimization aligned with enterprise goalsWork with large and complex (big) data sets across finance domains, ensuring scalable handling, effective processing, and performance optimization across systems and data platformsEvaluate and embed GenAI and agentic solutions (e.g., copilots, autonomous workflows, intelligent pipelines) to reimagine finance processes, reduce manual effort, and accelerate decision-making cyclesDrive adoption of modern data and automation tools (Data Platforms, Oracle, Alteryx, Power BI), augmenting them with AI-driven insights, predictive analytics, and intelligent automationDevelop and maintain financial data products, standardized KPIs, reusable datasets, and robust, dynamic data structures (e.g., scalable data models, semantic layers)



to support evolving business needs and AI consumptionMaintain and validate finance data mappings, transformation logic, and integrations, while exploring AI-assisted reconciliation, mapping automation, and anomaly detectionSupport finance data governance by defining data quality rules and partnering on controls and lineage, leveraging AI for continuous monitoring, exception handling, and automated remediation insights2. Support financial transformation initiatives

Collaborate cross-functionally to support finance data transformation initiatives, incorporating AI-first design principles, scalable data structures, and automation opportunities into solution architecture

Partner with stakeholders (DT, Finance, etc.) to ensure alignment with enterprise strategy, including identification and prioritization of GenAI, agentic workflows, and big data use cases

Support delivery of transformation initiatives (milestones, timelines, reporting), while piloting and scaling agent-based workflows and AI-enabled process automation

Contribute to business cases by quantifying impact from AI, automation, and improved data architecture (e.g., scalability, speed, accuracy, and cost efficiency

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.

QualificationsWhat’s needed to succeed (Minimum Qualifications):

Bachelor's degreeFinance, Accounting, Information Systems, Computer Science, or related field4+ years of finance and/or technology experienceExperience in Finance Analytics, Data Analytics, Finance Systems, or Technology TransformationStrong expertise in finance data, reporting,



analytics, data modeling, and master data governanceExperience working with large, complex datasets using platforms such as Databricks, Snowflake, Foundry, SQL ServerHands-on experience with Power BI and/or Tableau for reporting and visualizationMust have working knowledge of Oracle EDM, complimentary would be Oracle ERP, Oracle EPMStrong proficiency in SQL and data analysisExperience using Python for analytics, automation, or process improvementExperience with Alteryx or similar ETL/data transformation toolsFamiliarity with GenAI tools (e.g., Copilot, ChatGPT), AI-assisted analytics, and agentic workflows/intelligent automationStrong analytical, problem-solving, and communication skills, with the ability to translate complex data into actionable business insightsAbility to independently identify and implement opportunities to improve finance processes through data, automation, AI, and scalable technology solutions, AI, and scalable technology solutionsExcellent verbal and written communication skills, with the ability to present complex data, AI-driven insights, and process improvements to both finance and non-finance stakeholdersStrong understanding of how people, processes, data, and technology (including AI/automation) come together to build scalable and sustainable capabilitiesAbility to work independently and proactively identify opportunities to embed AI, automation, and improved data structures into existing workflows
What will help you propel from the pack (Preferred Qualifications):

Master's degreeMasters of Business AdministrationExperience in airline or similar industryExperience with PMO/project management tools such as Smartsheet, JIRA, or similar platformsUnderstanding 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 functionsExposure to cloud-based data and analytics architectures (e.g., AWS Data Lake, Azure, or similar platforms).

📌 Senior Analyst Finance Data Capability (Gurugram)
🏢 United Airlines
📍 Gurugram