Senior Finance Data Analyst

Responsibilities

• Act as a translator and steward of operating expense, capital, headcount and purchase order data, guiding users to understand and properly leverage data sources / solutions.
• Develop, prototype, build and maintain data solutions by using SQL, AI and BI Tools, financial reporting standards, and database management experience.
• Develop AI agents that automate finance processes, collect and transform data, and produce reporting/analysis while maintaining high quality.
• Manage multiple workstreams, assess risks/issues and deliver solutions on time.
• Ensure solutions are scalable, reliable, secure and meet performance requirements.
• Support solutions through monitoring data quality, enhancing solutions, resolving issues and training end-users.
• Collaborate with multi-functional teams to find opportunities for process optimization, building consensus, automation, and cost reduction.
• What we need to see
• 5+ years of experience in FP&A, working closely with business partners from multiple departments. Proficiency in Excel, SQL, Python, AI Tools (Claude, Cursor and/or ChatGPT Work), Tableau or Power BI. Strong data modeling skills in SQL is essential.
• Bachelor's degree or equivalent experience in Finance, Economics, Business Administration, Business Analytics, Data Science, Information Systems, Computer Science or Engineering. MBA or equivalent experience is a plus.

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