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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 EMEA Research team is central in uncovering compelling ways to engage and entertain our members across Europe, Middle East and Africa. This Researcher role supports our country researchers, who support local decision making, and our Commerce researcher who works with Partnership and Growth teams across EMEA.
This is an opportunity to lead innovative research, analysis and storytelling with a demonstrable impact on the EMEA business. You will be responsible for defining, leading, analyzing, and socializing research studies that generate insights to empower business decisions across the company. You’ll partner with cross-functional teams passionate about delivering the most engaging, innovative, and inclusive content and experiences.
In this role, you will:
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Synthesise data from multiple sources (surveys, qualitative, behavioural, 3rd party) to craft a clear meaning and create deeper insights.
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Lead both qualitative and quantitative ad hoc research projects across multiple countries and areas (Content, Marketing, Product), under the supervision of senior researchers across the EMEA team.
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Proactively partner with other CI researchers and cross-functional partners, including Content, Marketing, Product, Data Science and Brand, to develop new research initiatives
About you:
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Experience in product research, market research, content research, and/or analytics. Hands-on experience leading end-to-end quantitative research studies is required. Experience with mixed methods research is highly preferred.
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A balance of creative and analytical skills with the ability to proactively define research questions, identify appropriate methods, execute studies, and synthesise findings.
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Able to prioritise their efforts in line with business needs, and juggle multiple requests from different colleagues
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Strong communicator with a bias toward action to proactively collaborate with multiple teams across the company
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Strong storytelling and data synthesising skills
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Can thrive in our unique culture
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Self-starter and problem solver who loves “getting in the weeds” with quantitative data (including survey data, public “big data” repositories, and internal logged data).
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Research experience in EMEA (including the Middle East and Africa) is preferred but not required
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Business English required; a second EMEA language is beneficial
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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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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