Bridge Data & Business Needs – Translate business requirements into scalable data models
Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects
Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems
Support Revenue Accounting – Build and maintain data products for the Revenue Accounting organization
Ensure Compliance & Governance – Apply compliance-first design principles to support SOX and audit readiness
Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks
Drive Continuous Improvement – Proactively identify opportunities for process optimization
Leverage AI & Next-Generation Analytics – Harness cutting-edge AI technologies to reimagine financial data modeling.

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)
Strong communication skills with the ability to engage effectively across technical and non-technical teams.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingdata analyticsSQLSnowflakedbtBI toolsdata pipelinesdata validationdata monitoringdata reconciliation

Soft Skills

communicationproject managementprocess optimizationcollaborationproblem-solving