Sr. Manager, Finance Data Analytics

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Requirements:

• 8+ years of experience in data analytics, with a focus on financial reporting, accounting support, and business intelligence.
• Proven experience as a people and project manager.
• Advanced SQL modeling and Python development skills.
• Experience managing a Databricks data warehouse and deploying SQL data models.
• Proficiency with DBT for orchestrating data models, testing, and deployments.
• Experience deploying AI-based solutions in the finance and analytics space.
• Strong experience with managing system integrations to and from a data warehouse, ensuring accurate and consistent data flows.
• In-depth understanding of SOX compliance and experience implementing controls within a data warehouse environment.
• Extensive experience with month-end close processes and financial reporting, ideally within a public company.
• Strong knowledge of accounting principles and financial analysis; CPA certification is a plus.
• Demonstrated ability to deploy and manage business intelligence tools such as Tableau and Causal.

Responsibilities:

• Manage a team of data analysts to support Finance stakeholders.
• Develop and optimize the Databricks Data Warehouse - ensuring data integrity, scalability, and performance.
• Use DBT (Data Build Tool) to orchestrate, test, and deploy SQL data models.
• Support the accounting team during the month-end close by maintaining and improving financial reporting pipelines.
• Collaborate with finance and accounting teams to support financial analytics, forecasting, and other data-driven decision-making processes.
• Implement AI-based solutions to help expedite development and expand our capabilities.
• Deploy and manage business intelligence tools, including Tableau and Causal, to ensure accurate and timely reporting.
• Develop and maintain data solutions using Python - including working with APIs, building ETL pipelines, and performing web scraping to gather external data for financial analysis.
• Manage the integrations between other systems and the data warehouse - ensuring seamless data flow and consistency across platforms.
• Ensure SOX compliance across the data warehouse, implementing and monitoring controls to adhere to regulatory requirements.
• Maintain comprehensive documentation of the data warehouse architecture, data models, integrations, and processes to ensure effective knowledge sharing and operational continuity.
• Supervise, mentor, and provide support to data analysts, fostering a collaborative and high-performance work environment.
• Partner with cross-functional teams to translate business needs into data models and actionable insights.
• Continuously evaluate and improve data processes to ensure they meet business needs and industry best practices.