At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is growing fast, and we’re scaling our team to enable and accelerate that growth through data-driven financial operations. We’re passionate about our people, our customers, our values, and our culture! We’re also looking for people with a growth mindset and the pragmatic insight to solve for today while building for the future. As an entry level Collections/Financial Analyst, you will be a vital member of the Collections Team, sitting at the heart of our Order-to-Cash (O2C) process. In this role, you will be accountable for supporting and enabling diversity and belonging while bridging the gap between traditional finance and modern data science. You will be responsible for managing a portfolio of accounts, but you will do so by leveraging Snowflake’s own world-class data tools. You will use AI-driven products to prioritize outreach, turning traditional collections into a high-tech strategy. We are looking for a highly organized, self-motivated individual who is capable of prioritizing multiple responsibilities while meeting goals and deadlines. This role will be a key contributor to an exciting, fast-paced, high growth organization. We are looking for someone with a positive attitude and a desire to help strengthen our collection process to scale with the company’s long-term goals, a successful collector who is adept at analyzing data and possesses a foundational understanding of artificial intelligence.
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Job Type
Full-time
Career Level
Entry Level
Number of Employees
1,001-5,000 employees