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Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
Our Team
The core Advertising team is charged with building a new, best-in-class ads organization to establish Netflix as the premier platform for advertiser partners and to drive advertising revenue. The ad measurement team is tasked with developing insights into our audience and marketplace measurement solutions for advertisers, in support of our broader advertising sales efforts.
Summary:
Netflix’s Ads Measurement team is seeking a Measurement Lead to support the day-to-day work in audience research and campaign measurement. The successful candidate will work cross-functionally with sales, marketing, consumer insights, data science, product, and our vendor partners. If you are someone who is a self-starter, obsesses over details, and thrives in a collaborative environment, Netflix may be the place for you. For an insider's look at Netflix’s culture, make sure to read Seeking Excellence, our company credo.
Key Responsibilities:
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Audience Analysis & Presentation: Utilize proprietary and syndicated tools to analyze and present Netflix's audience data, effectively communicating insights to the marketplace and advertiser clients.
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Support for Advertising Sales: Assist the Advertising Sales team with research and analytics, including audience data, cultural insights, campaign metrics, and campaign measurement solutions.
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Industry & Trend Analysis: Conduct research and analysis of industries, companies, business models, and marketing strategies across key advertiser verticals, including CPG, Retail, Tech, and Telecom, to generate market-facing insights on current and emerging trends.
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Stakeholder Communication: Maintain effective communication with stakeholders by setting clear timelines and next steps, ensuring timely delivery of project objectives.
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Campaign Insights & Optimization: Integrate campaign measurement results to develop compelling narratives, present insights to clients and agencies, and provide guidance on how to shift their investments to Netflix.
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Causal Testing & Research Design: Design and execute advanced causal tests for Brand Effectiveness and Incremental Lift, along with quantitative and qualitative research on audiences, industries, and content.
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In-Depth Analysis & Insight Generation: Conduct thorough analyses of measurement outputs to deliver comprehensive and actionable insights.
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Learning Agendas & Playbooks Development: Contribute to the creation of advertiser and category-specific learning agendas and playbooks, incorporating innovative approaches.
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Case Study Development: Develop case studies based on ongoing and completed analyses to highlight successful strategies and outcomes.
Experience & Skills:
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4-6 years at a streaming, TV, digital media company, or media / digital agency, ideally.
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Understanding of quantitative and qualitative methodologies within the advertising landscape.
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Experience in research methods and data analysis - 1st party data, customer research, qualitative and quantitative studies.
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Strong understanding of methodology, data, and systems from syndicated research providers (e.g. Nielsen Ibope, HR Media, GWI, TGI, com Score).
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Understanding of local video audience measurement systems.
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Understanding of the competitive streaming and TV marketplace.
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Intermediate understanding of digital media ad sales and marketplaces, including Direct IO & Programmatic advertising.
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Self-starter and self-motivated with strong communication skills and expertise in managing larger-scale, complex projects.
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Expertise in advanced measurement methodologies is desirable (Reach & Frequency, Incremental lift, Brand lift, Matched-Market testing, Multi-Cell testing, A/B testing, Marketing Mix Models, and bespoke campaign effectiveness studies).
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Comfort in analyzing large and disparate data sets to generate strategic and actionable insights.
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Proficiency with Microsoft Excel and PowerPoint & Data visualization tools (Tableau is desirable).
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Familiarity with Google Docs is desirable.
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Familiarity with concepts of database design and SQL is desirable.
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Proficient in English (Especially written)
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.
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Netflixについて

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
従業員数
Los Gatos
本社所在地
$280B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.8
キャリア
4.0
経営陣
3.2
68%
友人に勧める
良い点
Great benefits and perks
Supportive team and culture
Competitive salary and compensation
改善点
Fast-paced and high pressure environment
Work-life balance issues
High workload and long hours
給与レンジ
1,875件のデータ
Mid/L4
Mid/L4 · Analytics Engineer
7件のレポート
$274,996
年収総額
基本給
$211,536
ストック
-
ボーナス
-
$274,996
$358,605
面接体験
4件の面接
難易度
4.0
/ 5
内定率
25%
体験
ポジティブ 25%
普通 25%
ネガティブ 50%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
ニュース&話題
Netflix work life balance?
Mixed reports: some describe it as 'demanding but respectful', others call it a 'meat grinder'. WLB varies significantly by team and manager. Rating: 3.6/5 on Glassdoor.
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