Analytics Engineer 5 - Enterprise Data

Netflix
Warsaw
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Cross-functional collaboration","Analytical thinking","Strategic thinking","Communication","Influence"]

Define and operationalize data health by building measurement frameworks for trust, availability, and compliance across Netflix’s enterprise data ecosystem. Partner cross-functionally to design data models and executive dashboards, analyze lineage and asset utilization to drive improvements, and standardize data quality evaluation across domains. Collaborate with data platform teams to ensure telemetry and metadata support robust health analysis, and measure impact through developer productivity, reduced data friction, and adoption of standardized tooling.

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FursaFursa
Netflix
Netflix
4 days ago

Analytics Engineer 5 - Enterprise Data

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Define and operationalize data health by building measurement frameworks for trust, availability, and compliance across Netflix’s enterprise data ecosystem. Partner cross-functionally to design data models and executive dashboards, analyze lineage and asset utilization to drive improvements, and standardize data quality evaluation across domains. Collaborate with data platform teams to ensure telemetry and metadata support robust health analysis, and measure impact through developer productivity, reduced data friction, and adoption of standardized tooling.
Location: Warsaw
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Define data excellence metrics and advanced indicators for data health beyond standard availability checks.
  • •Design and implement data models and dashboards that provide a trusted view of the health of critical data assets for executive leadership.
  • •Analyze trends in lineage, asset utilization, and data lifecycle to influence engineering behavior and prioritize high-impact improvements.
  • •Partner with data platform engineering teams to ensure infrastructure and orchestration emit the metadata and telemetry needed for health analysis.
  • •Standardize data quality evaluation across domain workstreams and measure impact through metrics tied to productivity and reduced data friction.

Key Requirements

  • •Experience defining metrics in complex data domains and creating novel measurement frameworks when standard metrics don’t exist.
  • •Experience driving large-scale initiatives and influencing technical teams based on analytical findings.
  • •High proficiency in SQL and Python, including building pipelines to model and analyze data.
  • •Ability to communicate complex data concepts to non-technical stakeholders and align cross-functional partners.
  • •Strategic thinking to balance near-term insights with long-term goals for an automated data health ecosystem.
Experience:Data engineeringEnterprise dataData platformsData quality
Skills:Cross-functional collaborationAnalytical thinkingStrategic thinkingCommunicationInfluence
Tech Stack:SQLPython

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
Glassdoor
Glassdoor: 4.1
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