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The Senior Analyst, Revenue Operations will manage sales compensation processes, perform variance analysis, and support sales teams with revenue operations and financial models. Strong analytical skills and attention to detail are key, along with proficiency in sales compensation structures and tools such as Salesforce and Tableau.
Top Skills:
ExcelGoogle SheetsPythonSalesforceSQLTableau
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The Revenue Operations Analyst will conduct revenue analytics to support business strategy, using AI tools for data management and visual reporting to drive sales and marketing insights.
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AdTech • Artificial Intelligence • Digital Media • Marketing Tech • Social Media • Software • Generative AI
The Revenue Operations Analyst will support alignment of Sales, Marketing, Customer Success, and Finance by maintaining data quality, improving operations, and delivering insights to drive revenue growth.
Top Skills:
Bi ToolsCRMExcelGoogle SheetsLookerSalesforceSQLTableau
You’ll join Spotify’s Revenue Operations team, supporting the Order to Cash (O2C) process that underpins how we operate and grow our business globally. This team partners closely with Finance, Sales, and Product to ensure accuracy, efficiency, and a smooth customer experience. Your work will be highly visible, helping improve the systems and processes that keep Spotify running at scale.
What You'll Do
- Review and support sales orders to ensure accuracy, compliance, and alignment with internal standards
- Monitor key processes and service levels, helping the team stay on track and meet agreed timelines
- Support manual processes and special projects as business needs evolve
- Maintain and improve customer master data across systems, including account setup, updates, and data quality checks
- Partner with cross-functional teams to improve workflows and address data issues impacting billing or collections
- Support credit processes and workflows using internal tools
- Handle urgent cases and escalations, partnering with leadership to resolve issues thoughtfully and efficiently
- Contribute to reporting, metrics tracking, and insights that support decision-making
- Identify opportunities to improve processes through automation or AI-driven solutions
Who You Are
- You have 2+ years of experience in Revenue Operations, Accounts Receivable, Credit & Collections, Compliance, or a related Finance function
- You are experienced working with ERP systems such as SAP, Oracle, or NetSuite
- You are comfortable working with large datasets and have strong Excel skills
- You know how to manage your time, prioritize tasks, and meet deadlines in a fast-moving environment
- You communicate clearly and collaborate effectively across teams and stakeholders
- You are detail-oriented and care about accuracy and data integrity
- You are curious about improving processes and open to using automation or AI tools
- You adapt well to change and are comfortable navigating evolving priorities
Where You'll Be
- This role is based in New York City
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2–3 times per week.
The United States base range for this position is USD, $66,189- $94,556 plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Spotify New York, New York, USA Office
4 World Trade Center, New York, NY, United States, 10007
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
