Senior Analytics Engineer - Finance (R6185)

About the role

Responsibilities

• Shape the analytics roadmap with Finance and GTM leaders, prioritizing high-impact products and resolving competing requirements.
• Build governed datasets and semantic models that support reporting, planning, scenario analysis, and strategic decisions.
• Set modeling and metric standards across domains, exercising judgment on architecture, quality, and maintainability.
• Develop conversational analytics and AI-enabled workflows, including Databricks Genie, grounded in trusted business context.
• Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality.
• Own business-facing reconciliation and acceptance, partnering with data engineering on reliable delivery.
• Mentor engineers and Finance partners, strengthening technical practices and self-service capabilities.

Requirements

• Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of delivering production data products.
• Demonstrated ability to lead ambiguous, cross-functional work from problem definition through adoption.
• Proficiency with AI coding assistants and sound judgment when reviewing generated work.
• Practical experience with AI-assisted analytics, ideally Databricks Genie; adjacent Snowflake Cortex or comparable experience is welcome.
• Sound architectural judgment, disciplined development practices, and experience mentoring others and influencing senior stakeholders.
• Experience with Databricks, Python, semantic layers, or AI application development.
• Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance.
• Familiarity with enterprise planning, financial controls, or high-growth business environments.