Analytics Engineer Jobs at Netflix with Visa Sponsorship
Analytics Engineer jobs at Netflix sit at the intersection of data infrastructure and product intelligence, requiring deep expertise in data modeling, pipeline architecture, and stakeholder collaboration. Netflix has a consistent track record of sponsoring international talent for this function across multiple visa categories, making it a realistic target for qualified candidates.
Find Analytics Engineer Jobs at NetflixOverview
Showing 5 of 7+ Analytics Engineer Jobs at Netflix
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all Analytics Engineer Jobs at Netflix
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Engineer Jobs at Netflix.
Get Access To All JobsINTRODUCTION
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 Media Science DSE team delivers metrics & data science that help scale and innovate content media production and management workflows, driving time and cost efficiencies and empowering creative teams to bring their story to life on the screen.
We are looking for a stunning Senior Analytics Engineer to join the team. In this role, you will partner with product managers, business teams, and other Data Science & Engineering colleagues to design metrics, develop analytic tools, and perform analyses that power content media operations at scale. Your analytical insights will help steer global media production strategy, identify innovations that drive scale economies and greater creative storytelling across our diverse content slate, and support the delivery of new content types on Netflix.
ROLE AND RESPONSIBILITIES
As a Senior Analytics Engineer in this space, you will:
- Be a strategic partner for Content & Business Product PMs and Content Operations teams, developing and executing new measurement frameworks, and identifying analytic opportunities to assess the effectiveness and business impact of product solutions supporting media production workflows
- Drive the direction of your work, developing solutions that span from scrappy code and prototype tools to high-visibility dashboards and analyses for Business and Product leadership
- Establish and maintain strong partnerships with a variety of business, product, and data-oriented stakeholders, working directly with them to introduce and influence data-informed ways of working
- Present your analytical methodology and findings effectively to both technical and non-technical partners
- Collaborate with other Analytics Engineers & Data Engineers to source data from new systems, strengthen our foundational data models, and accelerate data analysis
BASIC QUALIFICATIONS
About you:
- 8+ years of demonstrated experience with data wrangling, data analysis, metric visualization, and data storytelling to both technical and non-technical product and business stakeholders
- An expert in the standard tech stack (i.e., SQL, Python) and intuitive dashboard/visualization design using common data visualization tools (i.e., Tableau, Plotly, Streamlit)
- Exceptional communication and collaboration skills coupled with strong business acumen
- Comfortable operating in ambiguity and a fast-paced environment; able to take ownership and thrive with minimal oversight and process
- You connect the dots across stakeholder needs and independently drive projects forward
- A self-starter with a learning mindset who is exceptionally curious – eagerly diving into new spaces and bringing informed ideas to the table
- You are known for developing and deepening strong relationships with a wide variety of stakeholders. You have experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data
- Comfortable taking (smart) risks in your work and thrilled about innovating in the Content Production domain
- Netflix culture resonates with you
- Experience designing observational causal inference studies and A/B tests, driving strategic decision-making through its findings is a plus
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 $330,000.00 - $566,000.00. This compensation range will vary based on location.
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. See more details about our Benefits here.
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.
Job is open for no less than 7 days and will be removed when the position is filled.
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 Media Science DSE team delivers metrics & data science that help scale and innovate content media production and management workflows, driving time and cost efficiencies and empowering creative teams to bring their story to life on the screen.
We are looking for a stunning Senior Analytics Engineer to join the team. In this role, you will partner with product managers, business teams, and other Data Science & Engineering colleagues to design metrics, develop analytic tools, and perform analyses that power content media operations at scale. Your analytical insights will help steer global media production strategy, identify innovations that drive scale economies and greater creative storytelling across our diverse content slate, and support the delivery of new content types on Netflix.
ROLE AND RESPONSIBILITIES
As a Senior Analytics Engineer in this space, you will:
- Be a strategic partner for Content & Business Product PMs and Content Operations teams, developing and executing new measurement frameworks, and identifying analytic opportunities to assess the effectiveness and business impact of product solutions supporting media production workflows
- Drive the direction of your work, developing solutions that span from scrappy code and prototype tools to high-visibility dashboards and analyses for Business and Product leadership
- Establish and maintain strong partnerships with a variety of business, product, and data-oriented stakeholders, working directly with them to introduce and influence data-informed ways of working
- Present your analytical methodology and findings effectively to both technical and non-technical partners
- Collaborate with other Analytics Engineers & Data Engineers to source data from new systems, strengthen our foundational data models, and accelerate data analysis
BASIC QUALIFICATIONS
About you:
- 8+ years of demonstrated experience with data wrangling, data analysis, metric visualization, and data storytelling to both technical and non-technical product and business stakeholders
- An expert in the standard tech stack (i.e., SQL, Python) and intuitive dashboard/visualization design using common data visualization tools (i.e., Tableau, Plotly, Streamlit)
- Exceptional communication and collaboration skills coupled with strong business acumen
- Comfortable operating in ambiguity and a fast-paced environment; able to take ownership and thrive with minimal oversight and process
- You connect the dots across stakeholder needs and independently drive projects forward
- A self-starter with a learning mindset who is exceptionally curious – eagerly diving into new spaces and bringing informed ideas to the table
- You are known for developing and deepening strong relationships with a wide variety of stakeholders. You have experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data
- Comfortable taking (smart) risks in your work and thrilled about innovating in the Content Production domain
- Netflix culture resonates with you
- Experience designing observational causal inference studies and A/B tests, driving strategic decision-making through its findings is a plus
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 $330,000.00 - $566,000.00. This compensation range will vary based on location.
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. See more details about our Benefits here.
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.
Job is open for no less than 7 days and will be removed when the position is filled.
See all Analytics Engineer Jobs at Netflix
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Engineer Jobs at Netflix.
Get Access To All JobsTips for Finding Analytics Engineer Jobs at Netflix
Align your portfolio with Netflix's data stack
Netflix engineering posts consistently reference dbt, Spark, and Druid. Before applying, build public project work that demonstrates production-scale data modeling and pipeline design, not just SQL proficiency. Hiring managers screen for depth, not breadth.
Target roles that match your visa timeline
Netflix sponsors multiple visa types, but your current status determines which roles are viable right now. If you're in your OPT window, apply to teams with longer interview cycles so your H-1B petition can be filed before your work authorization lapses.
Clarify sponsorship eligibility before your final interview round
Netflix's recruiting process moves fast. Before reaching the offer stage, confirm with your recruiter which visa category they intend to file and whether your role will be classified as a specialty occupation under USCIS criteria. Misalignment at the offer stage causes costly delays.
Use Migrate Mate to filter Analytics Engineer openings by visa type
Netflix posts Analytics Engineer roles across multiple teams simultaneously, and not all list sponsorship explicitly. Use Migrate Mate to filter openings by the visa categories you're eligible for, so you're targeting roles where your immigration profile is already a fit.
Prepare LCA documentation before the offer letter arrives
Your employer files the Labor Condition Application with DOL before USCIS sees your H-1B petition. Ask your recruiting contact early whether Netflix uses in-house immigration counsel or a third-party firm, so you can gather supporting credentials and degree equivalency documentation in advance.
Position your degree equivalency proactively for specialty occupation review
USCIS scrutinizes Analytics Engineer petitions where the degree field doesn't map directly to the job duties. If your background is in economics, statistics, or a non-CS discipline, obtain a credential evaluation from a NACES-accredited evaluator before your offer letter is issued.
Frequently Asked Questions
Does Netflix sponsor H-1B visas for Analytics Engineers?
Yes, Netflix sponsors H-1B visas for Analytics Engineers. The role qualifies as a specialty occupation under USCIS guidelines given its requirement for a bachelor's degree or higher in a relevant technical field. Because the H-1B is subject to an annual lottery with an 85,000-cap, Netflix typically files petitions in April for October start dates, so your offer timeline needs to account for that cycle.
How do I apply for Analytics Engineer jobs at Netflix?
Applications go through Netflix's careers portal, where Analytics Engineer openings are listed by team and product area. Roles span data platform, product analytics, and content intelligence. Tailoring your application to the specific team's data stack and business domain improves your chances significantly. You can also browse current Analytics Engineer openings at Netflix filtered by visa type on Migrate Mate before applying directly through the company.
Which visa types does Netflix commonly use for Analytics Engineers?
Netflix sponsors a range of visa categories for Analytics Engineers, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, and Green Card pathways through EB-2 and EB-3 classifications. F-1 OPT and CPT holders can also be considered, and J-1 visa sponsorship has been used for qualifying roles. The appropriate category depends on your citizenship and current immigration status.
What qualifications does Netflix expect for Analytics Engineer roles?
Netflix Analytics Engineer roles generally require a bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field, along with hands-on experience in data modeling frameworks like dbt and query languages such as SQL and Spark. Familiarity with building and maintaining scalable data pipelines is expected. Senior roles increasingly require experience owning end-to-end data products, not just contributing to existing infrastructure.
How do I time my application around the H-1B cap and OPT expiration?
If you're on F-1 OPT, apply to Netflix at least six to eight months before your OPT expires to allow time for the interview process, offer negotiation, and H-1B petition preparation. USCIS opens H-1B registration in March, with a lottery selection in late March and petitions filed from April 1. If you miss a lottery cycle, STEM OPT extension can provide up to 24 additional months of work authorization as a bridge.