Analytics Engineer 5 - Media Science DSE
- Pay
- $330,000 – $566,000 per year
- Location
- Remote (US) · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 8+ years
- Listed
- 14 days ago
Skills & highlights for this role
- SQL
- Python
- Data wrangling
- Data analysis
- Metric visualization
- Data storytelling
- Dashboard/visualization design
- Stakeholder communication
Also useful
- Plotly
- Streamlit
- GenAI measurement frameworks
- Content production analytics
As a Senior Analytics Engineer in this space, you will
Be a strategic thought partner for Content & Business Product PMs, Content Operations teams, and AI Strategy & Innovation leaders, developing and executing new measurement frameworks that quantify how GenAI-powered and other media creation innovations drive improvements in operational efficiency and creative flexibility
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 & Tech 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
Collaborate with other Analytics Engineers, Data Scientists, and Data Engineers to source and model data from the content production workflow, strengthen our foundational data models, and identify ways to integrate insights that improve creative decision-making throughout the content creation workflow
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., Plotly, Streamlit)
- Eager to dive into new spaces, defining measurement from the ground up for new technology - an exceptionally curious self-starter energized by ambiguity and able to thrive with minimal oversight and process
- Exceptional communication and collaboration skills coupled with strong business acumen
- You independently connect the dots across business problems
- 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
- Netflix culture resonates with you
Pay and benefits
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.
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.
Job is open for no less than 7 days and will be removed when the position is filled.
About Netflix
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.
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 fruitful ways to innovate content creation, and measure the impact of innovation bets – driving scale economies and even better creative storytelling across our diverse content slate.
Equal opportunity and legal notices
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.
From Netflix's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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All Netflix jobsCommon questions
What is the salary for the Analytics Engineer 5 - Media Science DSE role at Netflix?
The Analytics Engineer 5 - Media Science DSE posting at Netflix states compensation of $330,000 – $566,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Netflix's official career site.
Where is the Analytics Engineer 5 - Media Science DSE job at Netflix located?
Yes, this Analytics Engineer 5 - Media Science DSE opening at Netflix is listed as Remote (US) (On-site). Always check Netflix's application page for specific state eligibility or relocation policies.
What qualifications are required for Analytics Engineer 5 - Media Science DSE at Netflix?
For the Analytics Engineer 5 - Media Science DSE role, Netflix highlights 8+ years of relevant experience; experience with SQL, Python, Data wrangling, Data analysis, Metric visualization, Data storytelling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Analytics Engineer 5 - Media Science DSE position at Netflix?
This listing links directly to Netflix's application page. You can apply directly on Netflix's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.