Netflix Logo

Netflix

Sales Operations Manager (UCAN) - Business Performance Analytics & Insights

Reposted 9 Days Ago
In-Office
New York, NY, USA
220K-350K Annually
Senior level
In-Office
New York, NY, USA
220K-350K Annually
Senior level
As an Operations Manager, you will lead revenue analysis, reporting, predictive modeling, and cross-functional collaboration to enhance Netflix's business performance in the UCAN region.
The summary above was generated by AI

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 US and Canada (“UCAN”) Sales Operations team. The role’s primary goal will be to create, deliver and scale business performance reporting and insights for the UCAN Netflix Ads team, and be the first point of contact for the global Market Activation team to engage with to understand Sales Reporting needs. This means being directly involved with data tools and tables, to derive Sales Reporting while partnering with Market Activation, Product and Data Science & Engineering to scale long term solutions in the BI platform. This is an exciting opportunity to create new and impactful ways to measure the business and create insights for our UCAN Sales Leadership, so that we achieve our ambitious business objectives.

Key Responsibilities

  • Revenue Analysis: Lead the development of comprehensive revenue analytics, focusing on key performance indicators (KPIs) to track progress against goals and identify revenue growth opportunities.

  • Insights & Reporting: Accountable to deliver reporting for UCAN leadership, develop scalable reporting for the broader UCAN organization, manage a cadence through which insights and updates can be communicated. This will be used to enable more informed decisions related to Sales Strategy, in-quarter Sales execution and activity, Pipeline Management, and Market Expansion.

  • Predictive Modelling:  Develop accurate and insightful predictions which help Sales Operations to forecast the business and make informed decisions during business planning.

  • Data Visualization & Storytelling: Build intuitive reporting to present findings in a clear, compelling way to stakeholders at all levels

  • Cross-Functional Collaboration: Partner with Sales, Account Management, Measurement, Solutions, Market Activation and other cross-functional teams to analyze customer behavior, Sales pipeline performance, channel performance, and market trends to drive Sales activity and Leadership decision making

  • Revenue Optimization: Architect models to identify opportunities to enhance product mix, and customer segmentation to maximize revenue with the broader Sales Operations team, and work with Market Activation, Product and Data Science & Engineering to implement for broad Sales teams to use directly

Qualifications:

  • 8+ years of experience in revenue operations, business analytics, or sales operations in a high-growth or media/technology company.

  • Strong analytical skills with expertise in tools like Excel. Expertise with SQL,  Python a nice to have

  • Proficiency in Data Visualization tools such as Tableau or Power BI as well as experience interacting with Data Integration tools such as Snowflake and Looker

  • Exceptional communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical, senior audiences.

  • Demonstrable experience in revenue forecasting and predictive modelling, pipeline management, and account segmentation.

  • A strategic mindset with the ability to think big-picture while diving into granular details.

  • Familiarity with CRM systems (e.g., Salesforce) and sales performance metrics.

  • Exceptional analytical skills with a focus on data-driven decision-making, process improvement, and operational support.

  • Excellent project management abilities, skilled at managing multiple workflows and deadlines in a fast-paced environment.


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 $220,000.00 - $350,000.00.

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.

Top Skills

Excel
Looker
Power BI
Python
Snowflake
SQL
Tableau

Netflix New York, New York, USA Office

245 W 17th St, New York, NY, United States, 10011

Similar Jobs

36 Minutes Ago
In-Office
107K-227K Annually
Senior level
107K-227K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Provide engineering expertise for high-purity gas systems, ensuring safe and compliant designs supporting semiconductor operations. Collaborate with site teams for improvements and troubleshooting.
Top Skills: Engineering StandardsHigh-Purity Gas SystemsSafety ProtocolsSemiconductor Manufacturing
37 Minutes Ago
In-Office
2 Locations
135K-198K Annually
Senior level
135K-198K Annually
Senior level
Cloud • Information Technology • Machine Learning
The role involves managing international financial reporting processes, collaborating with various teams to ensure compliance with US GAAP and local statutory requirements, and supporting global scaling through systematic intercompany transactions and tax compliance.
Top Skills: NetSuite
38 Minutes Ago
Hybrid
New York, NY, USA
83K-120K Annually
Senior level
83K-120K Annually
Senior level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
This role involves developing and launching telematics insurance products, managing product strategy, and ensuring compliance with regulations while collaborating with cross-functional teams.
Top Skills: Data ScienceTelematics

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account