Senior Data Analyst

Details

• Bridge Data & Business Needs – Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
• Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
• Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
• Support Revenue Accounting – Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
• Ensure Compliance & Governance – Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.
• Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
• Drive Continuous Improvement – Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting.
• Leverage AI & Next-Generation Analytics – Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered—accelerating insights, scaling workflows, and shaping the future of financial analytics.
• Bachelor’s degree in a related field
• 5+ years (7+ preferred) of experience in data analytics or analytics engineering roles
• Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.)
• Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
• Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive)
• Strong communication skills with the ability to engage effectively across technical and non-technical teams
• Public company experience with exposure to SOX compliance
• Background in high-growth technology environments
• Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
• Project management experience a plus
• Demonstrated ability to support Finance and Accounting teams with scalable data solutions
• Cloud cost management experience, ideally in an AWS environment
• Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks)