Champion a “data as a product” mindset: Set the standard for robust documentation, testing, and data model design – making revenue data products easy to understand, trust, and extend
Mentor and uplevel the team: Share best practices in analytics engineering, code quality, and documentation; coach others to adopt product-minded approaches and raise AE standards across the org
Partner cross-functionally with Finance, Data Science, Data Engineering, and Revenue stakeholders to define the future vision for key revenue data products, surfacing opportunities for innovation and improved business impact
Continuously improve business-critical analytics workflows for revenue that power Investor Relations reporting and all downstream revenue consumers, ensuring reliability, scalability, and transparency
Drive root-cause analysis and ask “why” to deeply understand the drivers of revenue data issues, proactively identifying improvements to workflows, code, and models
Implement and advocate for orchestration best practices to ensure the reliability and timeliness of revenue data pipelines
Leverage AI tools (e.g., Claude Code, Cursor, MCP servers) to boost developer productivity and workflow efficiency, and share learnings with the team
Contribute to the adoption of modern AE standards (e.g., WAP—Write Audit Publish) and help define best practices for documentation, testing, and code review
Work with modern data infrastructure (Iceberg, SQL, orchestration tools), with opportunities to influence adoption of new tools (e.g., DBT, Pandas)

Requirements

8+ years in analytics/data engineering, ideally in high-stakes, business-critical data environments
Data-as-a-product mentality and ability to influence and drive cross-functional change from specification, planning, implementation, and beyond launch
Deep sense of ownership, curiosity, and a drive to get at the “why” behind data and workflow design
Proven ability to mentor, influence, and raise the bar for technical and product standards within a team
Excellent communication skills for both technical and non-technical audiences
Collaborative, innovative, and comfortable navigating ambiguity in a fast-moving environment

Benefits

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
Full-time salaried employees are immediately entitled to flexible time off

Applicant Tracking System Keywords

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

Hard Skills & Tools

analytics engineeringdata model designroot-cause analysisdata pipeline orchestrationSQLDBTPandasWAP (Write Audit Publish)testingcode review

Soft Skills

mentoringinfluencingcommunicationcollaborationinnovationcuriosityownershipadaptabilityproblem-solvingnavigating ambiguity