Tech Stack

Description

In this role, you will architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale. You will collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant, while advancing systems initiatives and optimizing cloud spend.

Requirements

• 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)

Responsibilities

• Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
• Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
• Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
• Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
• Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.