{"id":2798531,"url":"https://alion.io/job/netflix-analytics-engineer-5-infrastructure-efficiency-productivity","title":"Analytics Engineer 5 - Infrastructure Efficiency & Productivity","company":{"id":5888,"name":"Netflix","domain":"netflix.com","url":"https://alion.io/company/netflix","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":78,"open_postings":87,"ghost_share":0,"stale_share":0.874,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":330000,"max":566000,"currency":"USD","period":"year","gross":null,"usd_annual":566000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-20T22:59:13Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"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.\nEverything that we build to delight our members relies on our extensive technical infrastructure, which spans from services we rent from AWS to our custom-built content delivery network, Open Connect. As that infrastructure grows, so does investment in AI tooling, and understanding how efficiently we use both is central to Netflix's investment decisions.\nAs a Senior Analytics Engineer on Platform Data Science & Engineering, you will own how Netflix understands the efficiency of its cloud and AI infrastructure. You will join a data org of Analytics Engineers, Data Engineers, Visualization Engineers, and Data Scientists who partner with engineering teams and leadership to define the metrics, build the datasets, and deliver the insights that the company relies on to spend wisely. Your work will be the trusted source of truth that engineers and executives use to make decisions about a multi-billion-dollar infrastructure footprint.\nThis is a broad, high-visibility role with a lot of white space. You'll have the opportunity to develop metrics from scratch, build the logic and pipelines behind them, tell the story through dashboards and analyses, and turn all of it into recommendations that change how teams invest. You'll also help pioneer one of the most salient problems in the industry: quantifying the productivity impact of an increasingly AI- and agent-augmented workforce, where there is no textbook answer and real room to set the standard.\nThe ideal candidate will excel in metric research and development, self-sufficient analytics engineering, and data storytelling, and will share a passion for continuously improving how we use data to enhance Netflix's infrastructure.\nTo learn more about our team, read here.\nIn this role, you will:\nDefine and own the core metrics for how Netflix understands infrastructure cost, usage, and efficiency across its compute, storage, streaming, and machine learning platforms, and expand that coverage as the footprint grows.\n\nHelp pioneer new ways to measure the productivity impact of AI tooling and autonomous agents, shaping frameworks that leadership across the company will use to guide investment.\n\nIncrease the speed and quality with which the company understands and acts on its efficiency, turning what is often slow, manual analysis into trusted, reusable insight.\n\nSurface and size new efficiency opportunities, translating patterns in cost and usage data into recommendations that lead directly to meaningful savings.\n\nTell the story with data: build the dashboards, reports, and narratives that make efficiency legible to audiences from individual engineers to senior executives, partnering with our visualization engineers on the surfaces that serve them.\n\nPartner with Data Engineers on the pipelines upstream of your metrics, and with Data Scientists on the forecasting and reliability work that connects to yours.\n\nYou are:\nExperienced in metric research and development in a technical domain: you build metric frameworks (not just one-off metrics) at multiple granularities that ladder up to a coherent whole, and you set targets people trust.\n\nSelf-sufficient across the full analytics loop: data exploration, cleaning, light pipeline building, business logic, and dashboards. Fluent in Python and SQL.\n\nAt home in messy, changing data, with the judgment to know when a number is right and when it needs a second look.\n\nAn exceptional communicator with both technical and non-technical audiences, experienced at telling stories with data and influencing decisions at all levels of the business.\n\nA strong product thinker with good product sense: you get at what your partners actually need and build solutions that satisfy it.\n\nComfortable with ambiguity, and you thrive with minimal oversight and process.\n\nThoughtful about using AI in your own craft, using coding and analytics agents well, and evaluating what they produce rather than taking it on faith.\n\nExperienced in measuring cost, efficiency, or system performance in a cloud or streaming context (a plus), or motivated to go deep in that domain.\n\nGenerally, 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.\nNetflix is a unique culture and environment. Learn more here.\nInclusion 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.\nWe 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.\nJob is open for no less than 7 days and will be removed when the position is filled.","description_format":"text","description_chars":6388,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Retirement plans","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-10-18T01:20:47Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.437,"p_room":0.44,"age_days":70,"expected_fill_days":48,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":566000,"is_top_pay":true},"html_url":"https://alion.io/job/netflix-analytics-engineer-5-infrastructure-efficiency-productivity","json_url":"https://alion.io/job/netflix-analytics-engineer-5-infrastructure-efficiency-productivity.json","meta":{"generated_at":"2026-10-21T01:44:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2521,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5888},"rest":"https://alion.io/mcp/rest/get_company?id=5888"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnetflix-analytics-engineer-5-infrastructure-efficiency-productivity"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnetflix-analytics-engineer-5-infrastructure-efficiency-productivity"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnetflix-analytics-engineer-5-infrastructure-efficiency-productivity"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/netflix-analytics-engineer-5-infrastructure-efficiency-productivity\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnetflix-analytics-engineer-5-infrastructure-efficiency-productivity"}]}