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Metro location and mid-level (3+ years) profile increase competition, despite FP&A niche.
Strong FP&A finance domain requirements make background fit restrictive despite transferable SQL/BI skills.
Explicit 3+ years plus required tools (Anaplan, Snowflake, SQL, BI) create moderate candidate filters.
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Own end-to-end data validation and reconciliation across ERP, planning, data platforms, and BI systems to ensure financial data integrity before executive reporting.
Maintain and apply data validation rules aligned with governance standards and collaborate with Finance Systems and Data Engineering teams to improve data pipeline integrity.
Identify and implement automation opportunities using SQL, Excel, and Python to build scalable, repeatable financial data validation and reporting processes.
3+ years experience in FP&A, financial analysis, or data analytics.
Experience with financial planning tools such as Anaplan or equivalent.
Proficiency in SQL, Snowflake, and advanced Excel; experience with BI tools like Power BI or Tableau.
Not explicitly mentioned in the JD: Notice period or strict location requirements.
Experienced at working at the intersection of finance, data, and technology with strong analytical and data validation skills.
Skilled in cross-functional collaboration communicating insights effectively to diverse stakeholders.
Familiar with data governance, data quality frameworks, and automation using SQL and Python in technology-driven environments.