Netflix

3 months ago

Analytics Engineer (L5) - Localization

✓ 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 scalable analytics tools and systems for Netflix’s Localization Data Science & Engineering team, helping expand localization and improve quality. Partner with engineers, data engineers, scientists, product managers, and domain experts to define metrics, develop instrumentation and telemetry frameworks, and leverage insights to drive localization strategy. Improve foundational data models and accelerate productization of data insights while contributing to analytics enablement across the community.

Location: Amsterdam

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Act as a strategic partner to stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with automated data solutions.
•Drive work from instrumentation/telemetry frameworks for algorithms through defining key metrics and using insights to guide strategy.
•Partner with engineers, data engineers, and scientists to improve foundational data models and accelerate productization of data insights.
•Share innovations and collaborate with the broader community to strengthen analytics enablement.

Key Requirements

•Proven track record designing and developing scalable analytics tools and systems.
•High proficiency in tools like Python, SQL, Spark, and data visualization tools such as Streamlit and Tableau.
•Experience coordinating with engineering and data engineering teams, with fundamentals of modular design.
•5+ years building data products powered by big data.
•Exceptional communication and collaboration skills with strong business acumen; comfortable owning work in ambiguous environments.

Experience:5+ years

Skills:CommunicationCollaborationOwnershipAutonomyBusiness acumen

Tech Stack:PythonSQLSparkStreamlitTableau

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

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Netflix

3 months ago

Analytics Engineer (L5) - Localization

✓ 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: Amsterdam

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Act as a strategic partner to stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with automated data solutions.
•Drive work from instrumentation/telemetry frameworks for algorithms through defining key metrics and using insights to guide strategy.
•Partner with engineers, data engineers, and scientists to improve foundational data models and accelerate productization of data insights.
•Share innovations and collaborate with the broader community to strengthen analytics enablement.

Key Requirements

•Proven track record designing and developing scalable analytics tools and systems.
•High proficiency in tools like Python, SQL, Spark, and data visualization tools such as Streamlit and Tableau.
•Experience coordinating with engineering and data engineering teams, with fundamentals of modular design.
•5+ years building data products powered by big data.
•Exceptional communication and collaboration skills with strong business acumen; comfortable owning work in ambiguous environments.

Experience:5+ years

Skills:CommunicationCollaborationOwnershipAutonomyBusiness acumen

Tech Stack:PythonSQLSparkStreamlitTableau

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