Build the future of data. Join the Snowflake team.
Snowflake is growing fast and we’re scaling our team to help enable and accelerate our growth. 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. And as a
Snowflake Collections Analyst, you will be accountable for supporting and enabling diversity and
belonging.
Snowflake started with a clear vision: make modern data warehousing effective, affordable, and
accessible to all data users. Because traditional on-premises and cloud solutions struggle with this,
Snowflake developed an innovative product with a new built-for-the-cloud architecture that combines the
power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction
of the cost of traditional solutions.
As a Collections Analyst you will report to the Credit and Collections Manager and will participate in
specific projects related to data validation for reporting and assisting the team with special projects. You
will also assist in reporting on delinquent accounts as well as the collection of open accounts receivable.
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.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.
Snowflake is globally-distributed enterprise, with a team of more than 6,780 employees working in over 40 offices around the world. Hundreds of the world’s largest, use our AI Data Cloud to share data, build applications, and power their businesses.
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