Data Analyst Jobs at Netflix with Visa Sponsorship
Netflix hires Data Analysts to work across product, content, and subscriber growth, using large-scale behavioral data to drive decisions. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B, E-3, and other pathways from offer through filing.
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INTRODUCTION
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Production Finance Operations & Innovation (O&I) team is seeking a Data Analyst to support the Production Finance team and cross-functional partners on various data projects. O&I facilitates informed decision-making by providing analysis to stakeholders, including senior leadership and other departments. The role frequently involves quick-turnaround ad hoc reports, as well as long-term analyses, strategic thinking, and stakeholder management. The ideal candidate possesses strong data skills and a passion for innovation, with an interest in Production Finance or the Entertainment industry generally. This position demands the ability to succeed in a highly collaborative, fast-paced setting, a passion for data work, and the ability to learn quickly.
Responsibilities
Data Extraction & Transformation:
- Extract, clean, and transform data from core systems, including the Global Spend Report data model, Payroll Accounting Systems, and the Netflix Production Finance HUB.
- Aggregate and correlate data to accurately report on job counts, vendor spend, and location spend across global markets.
Cross-Functional Collaboration:
- Work closely with stakeholders, including Production Finance, Public Relations & Government Relations, Finance & Strategy, Data Science & Engineering, and Studio Tech Solutions.
- Act as a proactive thought partner, translating complex business needs into actionable data solutions.
Ad Hoc & Strategic Analysis:
- Engage in both rapid-turnaround ad hoc analyses (e.g., show-level spend, vendor breakdowns, cast and crew location analytics) and longer-term strategic projects (e.g., trend analysis, workflow optimization).
- Provide actionable insights and clear reporting to support decision-making.
Technical Development & Workflow Improvement:
- Develop expertise in the existing data models, identify data inconsistencies, and recommend improvements to data collection and validation processes.
- Explore and utilize data tables owned by adjacent business partners to enhance data coverage and integration.
Data Visualization & Reporting:
- Analyze structured datasets to develop metrics, dashboards, and trend reports using data visualization tools such as Google Sheets, Looker, Tableau, or similar platforms.
- Present insights in a clear, accessible manner to both technical and non-technical stakeholders.
System & Tool Experimentation:
- Proactively engage in self-training and experimentation with new tools and technologies to improve analytics workflows and drive innovation.
Production Finance Team Support:
- Guide Production Finance executives on data access, analysis, and reporting.
- Respond to requests for data pulls, insights, and custom analyses as needed.
Data Quality & Issue Resolution:
- Monitor data integrity and troubleshoot urgent issues affecting data coverage or quality, ensuring the highest standards of accuracy and completeness.
Documentation & Knowledge Sharing:
- Maintain clear documentation of data processes, workflows, and system configurations.
- Share best practices and learnings with the broader team to foster continuous improvement.
QUALIFICATIONS
Education & Experience:
- A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar)
- 5+ years of experience in data science, analytics engineering, or a similar data field.
- Experience in Production Finance, Production Accounting, or other Entertainment Industry areas preferred
- Ability to collaborate with various teams and stakeholders, work with business end-users to understand data and analysis needs.
Skills & Abilities:
- Advanced SQL proficiency and database infrastructure knowledge required
- Advanced G Sheets proficiency required
- Experience with Python/R or other statistical programming languages is required
- Excellent data analysis and visualization skills
- Familiarity with Business Intelligence tools such as Looker, Tableau, or similar platforms
- Working knowledge of database concepts and data pipelines
- Strong written and verbal communication skills
- Strong interpersonal skills, with the ability to build relationships with key stakeholders
- Ability to communicate effectively with global teams
- Ability to show flexibility in re-prioritizing as situations arise throughout the day
- Detail-oriented but also interested in understanding the bigger picture
OTHER ATTRIBUTES
- Must thrive in a fast-paced and collaborative team environment
- Flexible and open to different perspectives
- Curious, with a focus on generating results
- Must be self-motivated, disciplined, highly organized, and able to prioritize tasks
- Exhibit the highest personal and professional standards of integrity and ethics.
- Passion for innovation
COMPENSATION
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000.00 - $230,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.
Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

INTRODUCTION
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Production Finance Operations & Innovation (O&I) team is seeking a Data Analyst to support the Production Finance team and cross-functional partners on various data projects. O&I facilitates informed decision-making by providing analysis to stakeholders, including senior leadership and other departments. The role frequently involves quick-turnaround ad hoc reports, as well as long-term analyses, strategic thinking, and stakeholder management. The ideal candidate possesses strong data skills and a passion for innovation, with an interest in Production Finance or the Entertainment industry generally. This position demands the ability to succeed in a highly collaborative, fast-paced setting, a passion for data work, and the ability to learn quickly.
Responsibilities
Data Extraction & Transformation:
- Extract, clean, and transform data from core systems, including the Global Spend Report data model, Payroll Accounting Systems, and the Netflix Production Finance HUB.
- Aggregate and correlate data to accurately report on job counts, vendor spend, and location spend across global markets.
Cross-Functional Collaboration:
- Work closely with stakeholders, including Production Finance, Public Relations & Government Relations, Finance & Strategy, Data Science & Engineering, and Studio Tech Solutions.
- Act as a proactive thought partner, translating complex business needs into actionable data solutions.
Ad Hoc & Strategic Analysis:
- Engage in both rapid-turnaround ad hoc analyses (e.g., show-level spend, vendor breakdowns, cast and crew location analytics) and longer-term strategic projects (e.g., trend analysis, workflow optimization).
- Provide actionable insights and clear reporting to support decision-making.
Technical Development & Workflow Improvement:
- Develop expertise in the existing data models, identify data inconsistencies, and recommend improvements to data collection and validation processes.
- Explore and utilize data tables owned by adjacent business partners to enhance data coverage and integration.
Data Visualization & Reporting:
- Analyze structured datasets to develop metrics, dashboards, and trend reports using data visualization tools such as Google Sheets, Looker, Tableau, or similar platforms.
- Present insights in a clear, accessible manner to both technical and non-technical stakeholders.
System & Tool Experimentation:
- Proactively engage in self-training and experimentation with new tools and technologies to improve analytics workflows and drive innovation.
Production Finance Team Support:
- Guide Production Finance executives on data access, analysis, and reporting.
- Respond to requests for data pulls, insights, and custom analyses as needed.
Data Quality & Issue Resolution:
- Monitor data integrity and troubleshoot urgent issues affecting data coverage or quality, ensuring the highest standards of accuracy and completeness.
Documentation & Knowledge Sharing:
- Maintain clear documentation of data processes, workflows, and system configurations.
- Share best practices and learnings with the broader team to foster continuous improvement.
QUALIFICATIONS
Education & Experience:
- A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar)
- 5+ years of experience in data science, analytics engineering, or a similar data field.
- Experience in Production Finance, Production Accounting, or other Entertainment Industry areas preferred
- Ability to collaborate with various teams and stakeholders, work with business end-users to understand data and analysis needs.
Skills & Abilities:
- Advanced SQL proficiency and database infrastructure knowledge required
- Advanced G Sheets proficiency required
- Experience with Python/R or other statistical programming languages is required
- Excellent data analysis and visualization skills
- Familiarity with Business Intelligence tools such as Looker, Tableau, or similar platforms
- Working knowledge of database concepts and data pipelines
- Strong written and verbal communication skills
- Strong interpersonal skills, with the ability to build relationships with key stakeholders
- Ability to communicate effectively with global teams
- Ability to show flexibility in re-prioritizing as situations arise throughout the day
- Detail-oriented but also interested in understanding the bigger picture
OTHER ATTRIBUTES
- Must thrive in a fast-paced and collaborative team environment
- Flexible and open to different perspectives
- Curious, with a focus on generating results
- Must be self-motivated, disciplined, highly organized, and able to prioritize tasks
- Exhibit the highest personal and professional standards of integrity and ethics.
- Passion for innovation
COMPENSATION
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000.00 - $230,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.
Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
See all 141+ Data Analyst at Netflix jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analyst at Netflix roles.
Get Access To All JobsTips for Finding Data Analyst Jobs at Netflix Jobs
Frame your portfolio around streaming data problems
Netflix evaluates analysts on experience with large behavioral datasets, A/B testing, and product metrics. Build case studies around engagement funnels, churn analysis, or recommendation system performance before you apply.
Identify open roles using Migrate Mate
Netflix posts Data Analyst roles across multiple teams with varying sponsorship eligibility. Use Migrate Mate to filter specifically for open positions at Netflix that support your visa category before spending time on applications.
Prepare for a SQL and statistics-heavy interview process
Netflix's Data Analyst interviews consistently test advanced SQL, statistical inference, and product sense. Weak technical performance will stall your candidacy before sponsorship ever enters the conversation, so prioritize this preparation.
Understand how F-1 OPT timelines interact with your start date
If you're on F-1 OPT, your STEM extension gives you up to 24 additional months of work authorization, but you must be employed by an E-Verify participating employer. Netflix qualifies, but confirm your OPT end date before accepting an offer.
Data Analyst at Netflix jobs are hiring across the US. Find yours.
Find Data Analyst at Netflix JobsFrequently Asked Questions
Does Netflix sponsor H-1B visas for Data Analysts?
Yes, Netflix sponsors H-1B visas for Data Analyst roles. The company has an established sponsorship process for this function, covering both the Labor Condition Application filed with DOL and the I-129 petition with USCIS. Because H-1B selection depends on the annual lottery, your timing and employer support through the registration process matter significantly.
How do I apply for Data Analyst jobs at Netflix?
Applications go through Netflix's careers site, where roles are listed by team and location. Migrate Mate aggregates Netflix Data Analyst openings and filters by visa type, so you can identify which roles are actively sponsoring before you apply. The process typically involves a recruiter screen, a technical assessment covering SQL and statistical analysis, and several rounds of structured interviews.
Which visa types does Netflix commonly use for Data Analyst roles?
Netflix sponsors H-1B, E-3 (for Australian citizens), TN (for Canadian and Mexican nationals), F-1 OPT, and Green Card pathways including EB-2 and EB-3 for Data Analyst positions. The right category depends on your nationality, degree field, and career stage. E-3 is particularly straightforward for eligible Australians since there's no annual lottery and no cap pressure.
What qualifications does Netflix expect for Data Analyst roles?
Netflix typically looks for a bachelor's or master's degree in statistics, mathematics, computer science, economics, or a related quantitative field. Strong SQL skills, experience with A/B testing frameworks, and fluency with Python or R are standard expectations. Analysts working on content or product teams are also expected to translate complex data findings into business recommendations for non-technical stakeholders.
How long does the visa sponsorship process take after a Netflix offer?
Timeline varies by visa type. E-3 consular appointments in Australia currently run two to eight weeks depending on the consulate. H-1B petitions have an October 1 start date tied to the annual cap cycle, meaning an offer in spring may require waiting several months before employment begins. USCIS premium processing for H-1B can reduce adjudication to 15 business days once the petition is filed.
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