招聘

Ads Central Operations Sr. Associate, Revenue Analytics & Insights
New York,New York,United States of America
·
On-site
·
Full-time
·
1mo ago
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.
About the Role
We are seeking a highly analytical and strategic thinker to join our Central Operations team as a Senior Associate of Revenue Analytics & Insights. This role will focus on creating globally standardized reports and insights for our Sales, Account Management, programmatic, and Ad Ops teams to drive revenue growth and enhance decision-making. You will work closely with Product Marketing, Regional Sales Operations, Ads Data, and other cross-functional partners to develop impactful analytics, uncover trends, and recommend strategies by identifying existing best practices to standardize globally, as well as new reporting visuals and analyses to equip Regional Sales Operations to partner with their Sales teams locally.
Key Responsibilities
Revenue Analysis: Delivering revenue and product analytics, focusing on key performance indicators (KPIs) to track progress against goals and identify revenue growth opportunities.
Insights & Reporting: Establish data-driven best practices for defining, tracking, and operationalizing product-, initiative-, and org-level metrics that influence sales behaviors and drive incremental revenue. Convince and influence stakeholders with clear data-backed insights and recommendations.
Revenue Forecasting & Planning: Model and deliver Sales forecasts that provide insight to Sales, Sales Operations, and Product Teams. Conduct analyses to break down targets at the product, team, and region levels
Data Visualization & Storytelling: Build intuitive visualizations using tools like Tableau, Looker, or GSheets that convey information in a clear, compelling way to stakeholders at all levels.
Cross-Functional Collaboration: Partner with Ads Data, Product Marketing, Regional Sales Operations, Finance, and other cross-functional teams to compare analyses in order to deepen understanding on product levers and revenue-driving initiatives, ultimately conveying back to Sales Operations and Sales Leadership.
Process Improvement: Identify ways to streamline reporting processes and analytics workflows to ensure efficiency and accuracy. Reduce time spent in Regional Sales Operations creating reports by centralizing and automating reporting.
Preferred Qualifications
5+ years of experience in business analytics, product analytics, or other quantitative roles, ideally in a high-growth, fast-paced media/technology company.
Strong analytical skills in SQL, Python/R, and BI Tools (such as Tableau or Power BI), to provide clear insights and recommendations.
Familiarity with sales performance metrics, product success metrics, and CRM systems (e.g., Salesforce).
Exceptional communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical audiences, with an eye for detail.
A strategic mindset with the ability to think big-picture while diving into granular details.
Demonstrated experience in navigating highly ambiguous environments and gaining cross-functional buy-ins.
Generally, 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 $150,000.00 - $265,000.00.
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.
Netflix is a unique culture and environment. Learn more here.
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 · Associate, Finance & Strategy
3 reports
$180,285
total / year
Base
$156,770
Stock
-
Bonus
-
$137,400
$210,425
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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