Customer Service Analytics & Insights Analyst

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Official source last checked November 4, 2026.
Remote job overview

Remote — United States

Employer at explore.jobs.netflix.net

Posted November 3, 2026 · Official source checked November 4, 2026

Limited information
Eligible locations
Not disclosed
Required time zone
Not disclosed
Employment type
Full-time
Experience
Not disclosed
Compensation
USD 150,000–230,000 per year
Work authorization
Not disclosed
Travel
Not disclosed
Training
Not disclosed
Application
Company application site
Listing closes
November 25, 2026
Remote status declaredApply link checkedSalary disclosed

About the Opportunity

Netflix is hiring a Customer Service Analytics & Insights Analyst to combine customer-service demand forecasting with operational and customer-insight analysis.

This is a remote position based in the United States. The role sits within Netflix’s Data & Insights organization and focuses on interpreting demand forecasts, explaining forecast variance, analyzing customer-contact drivers, and turning data into recommendations for Customer Service leadership.

What You’ll Do

  • Interpret Customer Service demand forecasts and determine where informed human judgment or forecast overrides are appropriate.
  • Build demand scenarios for events such as product launches, pricing changes, policy updates, live events, outages, and market-specific anomalies.
  • Perform forecast variance and root-cause analysis across markets, channels, contact drivers, and event types.
  • Maintain forecasting assumptions, event inputs, calendars, and forecast-accuracy measures.
  • Provide final demand outlooks to Workforce Management and Capacity Planning teams.
  • Analyze Customer Service contact drivers and customer-experience data to explain demand shifts and emerging friction points.
  • Support launch tracking and post-launch evaluation.
  • Use GenAI and conversation-intelligence tools to analyze customer contacts at scale.
  • Partner with Data Analysts on datasets, dashboards, and analytical requirements.
  • Turn analytical findings into clear stories and recommendations for senior and cross-functional stakeholders.

Required Experience

Candidates need at least four years of experience in analytics, customer insights, research, forecasting, workforce management, contact-center analytics, or a related field.

A bachelor’s degree in Mathematics, Statistics, Economics, Finance, Engineering, Data Science, or a related quantitative discipline is preferred, or equivalent practical experience.

Analytics and Forecasting Skills

Proficiency in SQL and spreadsheet modeling is required.

Candidates should understand forecasting concepts including seasonality, event effects, workload, and forecast accuracy, or be able to learn them quickly.

Experience analyzing customer or Customer Service contact data to identify drivers, trends, and root causes is also required.

AI and Research Skills

Demonstrated experience using GenAI tools in analytical work is required.

Experience with Python, R, qualitative research, mixed-methods analysis, NLP, or conversation analysis is preferred.

Remote Work

This position is remote within the United States.

Compensation

The published compensation range is $150,000 to $230,000 USD per year.

Netflix generally structures compensation as annual salary rather than bonus-based pay, and employees can choose how much of their compensation is taken as salary versus stock options.

About Netflix

Netflix is a global entertainment company offering streaming, games, and related entertainment experiences to members around the world.

Candidates applying through WorkinVirtual will be directed to Netflix’s official careers page. WorkinVirtual is not the employer and does not accept applications for this opportunity.

Unclaimed Company profile

Employer at explore.jobs.netflix.net

This Company profile is not public. Profile details remain private; Job information and hiring authority remain separate.

This Company profile has not been claimed or verified by the organization. It was created from public Job-source information. No partnership, endorsement or client relationship is implied.

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