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Strong employer brand, generalist data role, and early-mid experience level increase applicant competition.
Role requires finance data expertise, Oracle EDM and domain knowledge, so cross-industry transferability is limited.
Explicit 2+ years plus mandatory SQL, Power BI/Tableau, Python, Databricks/Snowflake, Oracle EDM requirements increase filtering rigor.
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Assist senior analysts in executing finance data, analytics, and AI initiatives to transform finance data into scalable insights.
Support enterprise-wide finance data standardization, GenAI adoption, automation, and AI-driven dashboard and anomaly detection development.
Contribute to financial transformation projects including project tracking, AI-enabled automation pilot, and business case impact quantification.
Bachelor's degree in Information Systems, Computer Science, Data Science, Finance, Accounting, or related field.
2+ years of finance and/or technology experience with expertise in finance data, reporting, and analytics.
Hands-on experience with large datasets and tools such as Databricks, Snowflake, SQL Server, Power BI/Tableau, Oracle EDM, SQL, Python, and ETL tools like Alteryx.
Familiarity with GenAI tools (e.g., Copilot, ChatGPT) and AI-assisted analytics; strong communication skills for diverse stakeholders.
Experienced in finance analytics and data governance with ability to operate at the intersection of finance, data, and AI to enable transformation.
Comfortable working independently supporting complex data and AI projects within finance technology transformation environments.
Familiarity or experience in airline or similar industries and exposure to cloud-based data architectures and project management tools is a plus.