1 month ago

Analytics Engineer 5 - Content & Studio

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Design and build scalable, source-of-truth data models and analytical tools for the Consumer Product team, partnering closely with Marketing (including CP stakeholders) and data teams to turn raw data into high-quality, performant models and insights. Convert ambiguous business requests into data products, and deliver dashboards and custom tools (e.g., Plotly Dash). Apply strong SQL/Python skills and engineering best practices (CI/CD, testing, monitoring) while balancing long-term infrastructure work with ad hoc requests.

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain scalable data models serving as the source of truth for the Consumer Product team.
•Partner with business stakeholders, product engineering, and data teams to translate data needs into technical solutions.
•Transform quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash).
•Deliver scalable data solutions using SQL/Python and engineering best practices including CI/CD, testing, version control, and monitoring.
•Manage long-term infrastructure projects while staying agile for ad hoc data requests.

Pay and Benefits

Salary: USD 330,000 - 566,000 annually

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•5+ years of experience with an advanced degree in a quantitative field, or 8+ years of relevant professional experience.
•Expertise in SQL and deep experience using Python for data manipulation and automation.
•Ability to translate ambiguous business requests into concrete data products.
•Strong communication skills with technical and non-technical audiences, influencing senior stakeholders.
•Experience proactively learning and adopting AI capabilities to improve workflows.

Experience:5+ years

Skills:CommunicationBias to actionTranslating requirementsCross-functional collaborationIteration

Tech Stack:SQLPythonPlotly DashCI/CDVersion controlMonitoringTestingData modelingDashboardsCausal inferenceMachine learning (ML)AI

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

1 month ago

Analytics Engineer 5 - Content & Studio

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain scalable data models serving as the source of truth for the Consumer Product team.
•Partner with business stakeholders, product engineering, and data teams to translate data needs into technical solutions.
•Transform quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash).
•Deliver scalable data solutions using SQL/Python and engineering best practices including CI/CD, testing, version control, and monitoring.
•Manage long-term infrastructure projects while staying agile for ad hoc data requests.

Pay and Benefits

Salary: USD 330,000 - 566,000 annually

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•5+ years of experience with an advanced degree in a quantitative field, or 8+ years of relevant professional experience.
•Expertise in SQL and deep experience using Python for data manipulation and automation.
•Ability to translate ambiguous business requests into concrete data products.
•Strong communication skills with technical and non-technical audiences, influencing senior stakeholders.
•Experience proactively learning and adopting AI capabilities to improve workflows.

Experience:5+ years

Skills:CommunicationBias to actionTranslating requirementsCross-functional collaborationIteration

Tech Stack:SQLPythonPlotly DashCI/CDVersion controlMonitoringTestingData modelingDashboardsCausal inferenceMachine learning (ML)AI

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