Analytics Engineer 5 – Corporate Finance
Netflix
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- 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.
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.
- Excellent communication skills for both technical and non-technical audiences.
- Proven ability to mentor, influence, and raise the bar for technical and product standards within a team.
- Collaborative, innovative, and comfortable navigating ambiguity in a fast-moving environment.
Benefits
- Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
- We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
- We approach diversity and inclusion seriously and thoughtfully.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
analytics engineeringdata model designcode qualityroot-cause analysisdata pipeline orchestrationdocumentation best practicestesting best practicesAI toolsWAP (Write Audit Publish)workflow efficiency
Soft Skills
mentoringinfluencingcollaborationcommunicationinnovationnavigating ambiguitycoachingcross-functional partnershipproactive improvementstandard raising