채용

Associate, Finance & Strategy Commerce Payments - APAC
Seoul,Korea, Republic of
·
On-site
·
Full-time
·
4mo ago
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Mental Health
•Healthcare
•401k
•Equity
•Mental Health
Required Skills
SQL
Tableau
Excel
Data Analysis
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 APAC Finance & Strategy (F&S) Commerce Payments team is looking for a highly analytical and product-oriented Associate to join our APAC team. You play an essential role in leading day-to-day efforts to monitor payment performance and drive analyses that increase subscriber acquisition, improve retention, and maximize revenues. You will be part of the team responsible for turning payments data into business and product insights that inform and develop our payments strategy. To be successful, you are a self-starter with a keen analytical eye and proven experience as a cross-functional partner. You thrive in a fast-paced environment, bring a builder mindset, and can navigate ambiguity. You are a strong communicator, capable of conveying complex ideas effectively to a broad set of stakeholders.
This role is based in Seoul, South Korea, but responsibilities will also extend to the wider APAC region and select global projects.
RESPONSIBILITIES:
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Monitor the performance of payments processing (e.g., payments page conversion and customer retention performance driven by payments) across a number of markets and payment methods: cards, wallets, direct carrier billing, and bank-based payments.
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Lead strategic analyses and partner with Payments Managers and Product Managers to help identify, prioritize, and assess the impact of new initiatives. This includes working cross-functionally throughout the organization with a large number of potential stakeholders (e.g. payments, finance, data science and analytics, consumer insights, engineering, etc.).
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Support payment partner engagement with digital wallets, banking institutions, gift card service providers, and card networks (e.g. Visa/Mastercard) with a focus on improving performance.
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Proactively identify the opportunities most important for growth (acquisition, retention, and revenue) and create insightful presentations that facilitate decision-making for internal stakeholders and our external partners.
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Collaborate with your peers in other F&S functions (Content, Marketing, Partnerships, etc.) and other analytical teams (Data Science, CI) to develop a holistic view of the business on a market level.
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Optimizing our analytical models and working with data engineering to maintain data quality to improve our analytical tooling and efficiency.
QUALIFICATIONS:
Netflix is growing fast with a flat organizational structure, which means that employees are often asked to perform tasks with a range of difficulties. The ideal candidate will be prepared to regularly “roll up their sleeves” to perform more mundane tasks on the same day that they present to the executives of the company. Candidates must be curious, motivated, disciplined, and able to work autonomously.
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Minimum 5 years of experience in an analytical role. Excellent analytical skills including the ability to use business intelligence tools (SQL and Tableau), build spreadsheet models, sort through complex data to crystallize business implications, and craft a data-driven story. Additional coding and technical experience (e.g. VBA, Python, R, Power BI) are a plus.
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Excellent at turning business questions into analytical plans and connecting insights to product-oriented actions.
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Strong payments experience focused on how to improve payment processes, at a leading or startup tech company, is preferred.
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Ability to engage, listen, and collaborate with internal teams to align from ideation through execution to launch.
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Self-driven, comfortable with a fast-paced, always-on, highly ambiguous environment.
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Capable of remaining highly organized and aligned in a loosely structured organization.
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Excellent verbal and written communication skills in both Korean and English
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Bachelor’s degree in finance, economics, mathematics, statistics or other relevant field preferred.
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Additional language skills are a plus.
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.
포용성은 넷플릭스의 핵심 가치 중 하나이며, 저희는 모든 지원자에게 의미 있는 면접 경험을 제공하기 위해 노력하고 있습니다. 채용 절차 중 장애나 기타 사유로 지원이나 조정이 필요하신 경우, 귀하의 채용 담당자에게 요청해 주시기 바랍니다.
저희는 고용주로서 균등한 기회를 제공하고 다양성을 존중하며. 저희는 다양성과 포용성에 대해 진지하고 신중하게 받아들이며, 인종, 민족, 종교, 피부색, 출생지, 생물학적 성별, 성별 정체성 및 표현, 성적 지향, 나이, 결혼 여부, 군 복무 또는 장애 여부 등을 이유로 차별하지 않습니다
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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
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Production Assistant
83 reports
$52,604
total / year
Base
$52,604
Stock
-
Bonus
-
$36,552
$75,706
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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