Additional Information
The Finance Analytics team operates as a strategic business partner to dedicated business units, delivering data-driven insights that directly inform financial decisions. This role goes beyond building reports - it is about proactively identifying opportunities, translating complex data into clear business intelligence, and advancing how the team leverages AI-assisted tools and workflows to scale its impact. The ideal candidate brings deep expertise in SQL, data modeling, and BI development, and is eager to work at the intersection of analytics and emerging AI capabilities.
Essential Functions
Designs and deploys BI solutions using the Microsoft Power Stack (Power BI, Power Automate, Power Apps), applying AI-assisted development practices to deliver faster, higher-quality outputs aligned to business needs
Acts as a dedicated business partner to assigned business units - proactively engaging stakeholders to understand objectives, surface relevant insights, and deliver solutions that drive measurable outcomes rather than simply fulfilling requests
Authors, validates, and optimizes complex SQL queries across enterprise data platforms; applies AI-assisted tools to accelerate query development, improve documentation, and maintain consistent data standards
Translates complex analytical findings into clear, outcome-focused narratives tailored to finance leadership and business stakeholders; frames insights in terms of business impact rather than technical detail
Proactively identifies opportunities to improve processes, automate repetitive analytical tasks, and enhance insight delivery - including contributing to the team's adoption of AI-powered workflows and tooling
Maintains a current working knowledge of company applications, data systems, and system integration patterns relevant to the Finance data environment
Actively uses and contributes to AI-assisted workflows including enterprise AI tools (e.g., ChatGPT Enterprise, Claude, Microsoft Copilot) to accelerate query development, data documentation, and reporting; participates in building and refining shared AI tooling for the Finance Analytics team
Maintains and contributes to structured data documentation (table references, join logic, schema definitions, relation to business processes, and impact) that supports both human analysts and AI-assisted query development across the team
Serves as the subject matter expert for assigned business units, building deep knowledge of their data, processes, and reporting needs
Required Qualifications
Education Requirements: Minimum 4-year college degree in related field (Computer Science, Mathematics, Finance/Accounting) or relevant experience
Minimum 4 years of data analysis or any business intelligence related field
Experience with Microsoft Power Stack (Power BI, Power Automate, Power Apps) or other equivalents (Tableau, QlikView, etc.)
Strong proficiency with complex SQL language composition and analysis across multiple database platforms
Proficiency with SQL across multiple dialects and distributed query engines (e.g., Trino/Presto); comfort writing and optimizing queries in large-scale enterprise data environments
Experience working with large complex data including data modeling
Strong analytic/problem-solving skills, writing skills, organization skills, prioritization skills and communication skills
Capability to participate in multiple concurrent projects
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