Senior Data Analyst

What you'll do

• Translate business requirements into scalable data models and actionable insights for Finance and Accounting teams.
• Architect and deliver data models, pipelines, and reporting infrastructure to provide trusted financial insights at scale.
• Design and automate dashboards and reporting systems to guide long-term growth strategies.
• Build and maintain data products that incorporate revenue recognition logic for the Revenue Accounting organization.
• Implement validation, monitoring, and reconciliation frameworks to ensure accuracy and reliability across financial datasets.
• Apply compliance-first design principles to support SOX requirements and audit readiness.
• Identify and execute opportunities for process optimization, automation, and system enhancements.
• Utilize AI technologies and Python libraries to automate financial data modeling and delivery.

What we're looking for

• Bachelor’s degree in a related field.
• 5+ years of experience in data analytics or analytics engineering roles (7+ preferred).
• Proficiency in SQL and cloud data fundamentals including Snowflake, dbt, and BI tools like Mode, Looker, or Tableau.
• Experience building complex data pipelines with an emphasis on accuracy, compliance, and traceability.
• Familiarity with financial data structures, accounting processes, and enterprise systems such as Oracle, Workday, Salesforce, or Adaptive.
• Strong communication skills to engage effectively with both technical and non-technical teams.
• Experience in public companies with exposure to SOX compliance is preferred.
• Experience with AI/ML applications, cloud cost management in AWS, and large-scale financial system implementations is preferred.