Netflix

1 month ago

Analytics Engineer 5 - Content Finance DSE

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Build analytics engineering data products that power Content Finance at Netflix, from metric definition and data modeling through testing, documentation, and ongoing reliability. Own critical finance metrics and semantic models used for planning, forecasting, and executive reporting. Drive root-cause analysis on data issues and collaborate with Data Engineering, Finance, Data Science, and downstream consumers to define the future vision. Mentor teammates and use GenAI tools to accelerate delivery.

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Partner with Content Finance stakeholders (FP&A, content planning, production finance, and content accounting) to deliver data solutions for analytical problems.
•Own business-critical data products end-to-end, including metric definition, data modeling, documentation, testing, and reliability.
•Design and maintain core metrics and semantic models used for planning cycles, forecasting, and executive reporting.
•Perform root-cause analysis on data issues and workflow gaps to improve pipelines, models, and definitions.
•Partner cross-functionally and mentor teammates in analytics engineering best practices and product-minded development.

Pay and Benefits

Salary: USD 330,000 - 566,000 annually

Perks:Health Insurance401kEquityPaid LeaveDisabilityHsa

Key Requirements

•8+ years of experience in analytics or data engineering in business-critical environments.
•Expertise in SQL and proficiency in Python for data wrangling, scripting, and pipelines.
•Strong data modeling experience designing scalable, future-proof models for multiple stakeholders.
•Familiarity with DBT (or similar semantic modeling tools) and experience with workflow orchestration.
•Exceptional communication skills and ability to align on metric definitions and data standards across functions.

Experience:8+ yearsAnalytics engineeringData engineeringFinanceFP&AContent finance

Skills:CommunicationCross-functional alignmentOwnershipMentorshipSelf-starter

Tech Stack:SQLPythonDBTSemantic modelingWorkflow orchestrationSparkIcebergLakehouse architecturesLookMLClaude CodeCursorMCP serversGenAI

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: 4.1

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Netflix

1 month ago

Analytics Engineer 5 - Content Finance DSE

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Partner with Content Finance stakeholders (FP&A, content planning, production finance, and content accounting) to deliver data solutions for analytical problems.
•Own business-critical data products end-to-end, including metric definition, data modeling, documentation, testing, and reliability.
•Design and maintain core metrics and semantic models used for planning cycles, forecasting, and executive reporting.
•Perform root-cause analysis on data issues and workflow gaps to improve pipelines, models, and definitions.
•Partner cross-functionally and mentor teammates in analytics engineering best practices and product-minded development.

Pay and Benefits

Salary: USD 330,000 - 566,000 annually

Perks:Health Insurance401kEquityPaid LeaveDisabilityHsa

Key Requirements

•8+ years of experience in analytics or data engineering in business-critical environments.
•Expertise in SQL and proficiency in Python for data wrangling, scripting, and pipelines.
•Strong data modeling experience designing scalable, future-proof models for multiple stakeholders.
•Familiarity with DBT (or similar semantic modeling tools) and experience with workflow orchestration.
•Exceptional communication skills and ability to align on metric definitions and data standards across functions.

Experience:8+ yearsAnalytics engineeringData engineeringFinanceFP&AContent finance

Skills:CommunicationCross-functional alignmentOwnershipMentorshipSelf-starter

Tech Stack:SQLPythonDBTSemantic modelingWorkflow orchestrationSparkIcebergLakehouse architecturesLookMLClaude CodeCursorMCP serversGenAI

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: 4.1

Website LinkedIn Glassdoor