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Strong brand plus mid-level generalist data role with broad skill requirements increases applicant competition.
Role requires finance-domain knowledge (GL, AP, AR, FP&A, Treasury) making backgrounds less transferable across industries.
Explicit 4+ years plus mandatory stack (Snowflake/Databricks, SQL, Python, Oracle, Alteryx, Power BI) increases filter strictness.
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Drive design, governance, and activation of finance data capabilities to enable faster insights and scalable business value.
Implement and promote adoption of modern data platforms and AI/GenAI tools to automate finance workflows and enhance analytics.
Collaborate with Finance and Digital Technology teams to build a standardized, AI-enabled finance data ecosystem supporting transformation initiatives.
Bachelor's degree in Finance, Accounting, Information Systems, Computer Science, or related field.
4+ years of finance and/or technology experience, specifically in finance analytics, data analytics, finance systems, or technology transformation.
Experience with large, complex finance datasets and platforms such as Databricks, Snowflake, Foundry, SQL Server, and strong skills in SQL and Python for analytics and automation.
Hands-on expertise with Power BI and/or Tableau, Oracle EDM, Alteryx or similar ETL tools, and familiarity with GenAI tools (e.g., Copilot, ChatGPT).
Experienced in embedding AI, automation, and scalable technology solutions into finance processes to improve efficiency and decision-making.
Capable of working independently and cross-functionally to support finance data transformation and automation initiatives aligned with enterprise strategy.
Strong in translating complex finance data and AI-driven insights into actionable business recommendations for diverse stakeholders.