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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.
The core Netflix Ads team is charged with building a new, best-in-class ads organisation to establish Netflix as the go-to platform for advertiser partners. The Netflix Ads measurement team is tasked with building industry-leading research for advertisers to support our broader advertising sales efforts. This role is specifically for Japan.
Netflix’s Ads APAC Measurement team is looking for a new Measurement Partner to join the team. The successful candidate will work cross-functionally with sales, marketing, consumer insights, data science, and our vendor partners. If you are a self-starter, love the details, and thrive in a collaborative environment, Netflix may be the place for you. For an insider's look at Netflix’s culture, read Seeking Excellence.
Key Responsibilities
Design and Conduct research and generate insights that effectively convey the story of Netflix's Ads in APAC to the Japanese market and advertiser clients, with a focus on campaign effectiveness, reach and frequency, campaign verification, and measurement.
Use proprietary and syndicated tools to create regular reporting for stakeholders (both internal and external) on the JP Netflix Ads audience in comparison to competitors.
Integrate measurement outputs to craft a compelling narrative, present insights independently to clients and agencies, and offer guidance on optimising their media mix.
Manage the day-to-day effectiveness study process with third-party vendors from end to end such as sales requests, vendor intake, survey drafting, analysis, report creation, and presentation. Working closely with Sales Account Managers.
Partner with the JP Advertising Sales team to address day-to-day measurement requests. Offer expert advice to sales and advertiser clients on KPIs and measurement strategies, enhancing media plan effectiveness on Netflix.
The team leads client learning agendas. Partnering with advertisers to create category-specific learning agendas & playbooks, bringing innovative approaches to the table
Support team projects, ensuring all projects are delivered on time and maintain high standards. Build and promote processes for efficient working methods across the team to bring complex measurement integrations to market.
Both internal and external stakeholder management (i.e. advertisers, clients, data analytic vendors, etc.)
Mine, collect, and retain information on trends in campaign effectiveness within Netflix and the media industries to develop and present case studies from ongoing and completed analyses.
Experience & Skills
7+ Years experience in media research and measurement at Streaming, TV, digital media companies or media agencies.
Strong understanding of methodology, data, and systems from syndicated research providers (e.g. Nielsen, Intage, Macromill, Kantar, etc.) and direct digital technology and analytics.
Experienced in effectiveness measurements such as Reach & Frequency, Incremental lift, Brand lift, Sales Lift, A/B testing, Marketing Mix Models, Search Lift and bespoke campaign effectiveness studies. Including questionnaire scripting.
Strong understanding of methodology, data, and systems from syndicated research providers (e.g. GWI, etc.) as well as direct digital technology and analytics.
Demonstrated ability to generate strategic insights from rigorous analysis.
Strong knowledge of the advertising landscape, across all kinds of media channels and methods of buying. Ideally with a TV focus.
Demonstrated ability to generate strategic insights from rigorous analysis.
Self-starter and self-motivated with strong communication skills and expertise in managing larger-scale, complex projects.
Highly organised and experienced in building and following processes to make working methods more efficient.
Flexible and open-minded: able to thrive in a startup environment with ambiguity
Builds strong relationships with clients and colleagues; values diverse perspectives for better decision-making.
Highly curious, always looking for the meaning behind data.
Excellent writing and presentation-building skills.
Proficient in both English and Japanese.
Preferred Tools & Technical Skills
Proven expertise in advanced measurement methodologies.
Comfort in analyzing large and disparate data sets to glean meaningful insights.
Skills in advanced data analysis tools: Python, R, SQL, Excel
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.
インクルージョンは当社が重視する価値観の一つであり、すべての候補者に対して有意義な面接体験を提供できるよう努めています。採用プロセス中に障害やその他の理由で配慮や調整が必要な場合は、採用担当者にご相談ください。
私たちは、多様性が強いチームを育む基盤であると考え、雇用主として機会平等を推進しています。多様性とインクルージョンを重視し、真摯な姿勢でその推進に取り組んでいます。人種、民族、宗教、肌の色、出身地、性別、性自認、性表現、性的指向、年齢、婚姻状況、軍歴、障害の有無に関わらず、一切の差別を行いません。
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About Netflix

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
Employees
Los Gatos
Headquarters
$280B
Valuation
Reviews
4.2
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.8
Management
3.0
65%
Recommend to a Friend
Pros
Very high compensation packages (430k-700k)
Fully remote work opportunities
All cash compensation structure
Cons
Lower compensation than expected in some cases
Difficult interview process
Simple/uninteresting technical problems
Salary Ranges
1,869 data points
Mid/L4
Mid/L4 · Analytics Engineer
7 reports
$274,996
total / year
Base
$211,536
Stock
-
Bonus
-
$274,996
$358,605
Interview Experience
4 interviews
Difficulty
4.0
/ 5
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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