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Senior Data Analyst

Senior Data Analyst building scalable financial data models, pipelines, dashboards, and governance systems for Finance and Accounting. Requires a bachelor’s degree, 5+ years of analytics experience, and strong SQL, Snowflake, dbt, and BI expertise.

About the job

Responsibilities

  • Translate business requirements into scalable financial data models and insights.
  • Own data initiatives end to end, from ambiguous ideas through defined deliverables.
  • Design and automate dashboards, analytical models, and reporting systems.
  • Build and maintain data products supporting Revenue Accounting, including revenue recognition logic.
  • Apply compliance-first design principles for SOX compliance, audit readiness, and data governance.
  • Implement validation, monitoring, and reconciliation frameworks for financial datasets.
  • Identify opportunities for process optimization, automation, and system enhancement across Finance and Accounting.
  • Use AI technologies and machine learning libraries to improve financial data modeling, automation, and analytics.

Requirements

  • Bachelor’s degree in a related field.
  • At least 5 years of experience in data analytics or analytics engineering; 7+ years preferred.
  • Strong SQL and cloud data fundamentals.
  • Hands-on experience with Snowflake, dbt, and BI tools such as Mode, Looker, or Tableau.
  • Experience building and supporting complex data pipelines with 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 across technical and non-technical teams.

Nice-to-Haves

  • Public company experience and exposure to SOX compliance.
  • Experience in high-growth technology environments.
  • Experience implementing large-scale financial or operational systems, including ERP and enterprise data platforms.
  • Project management experience.
  • Experience supporting Finance and Accounting teams with scalable data solutions.
  • Cloud cost management experience, especially in AWS.
  • Familiarity with AI/ML applications in data analytics, including natural-language SQL tools, forecasting models, and anomaly detection frameworks.

Compensation

  • Annual base salary: $131,000–$152,000 USD, depending on permanent work location.
  • Eligible for a new-hire equity grant and annual refresh grants.

Skills

SQL, Snowflake, dbt, Mode, Looker, Tableau, AWS, Python, Machine Learning, Data Pipelines, SOX Compliance, Oracle, Workday, Salesforce, Adaptive

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