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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. Snowflake: Your data, no limits.
We’re growing and looking for a talented Product Data Analyst to come aboard. In this role you will work closely with our Product and Engineering teams to uncover insights about how customers use Snowflake, helping to inform Product decision making and focus Engineering efforts. You will also work on long-running analytical initiatives marked by greater complexity and less structure that will yield substantial product enhancements. This is a strategic, high impact role that will help shape the future of Snowflake products and services.

As a Product Data Analyst at Snowflake you will:

  • Sleuth through large amounts of data to uncover feature-usage patterns, problems with the system, potential performance enhancements, and areas to improve user experience.
  • Build dashboards to help Engineering and Operations monitor performance and availability of our system.
  • Think creatively to find optimal solutions to our complex, often unstructured problems.
  • Collaborate closely with engineers and productmanagers to validate product decisions and identify opportunities to created even more value for our customers.
  • Answer the occasional question from Marketing, Sales, and the Executive Team for publications and industry reports.

Our ideal Product Data Analyst will have:

  • 3+ years of experience working with SQL and relational data.
  • 2+ years of experience working with large-scale machine generated data—e.g., log or customer-usage data.
  • Exposure to tools commonly used for data analysis, such as Python (scikit-learn, numpy, and pandas), R, or Julia.
  • Familiarity with data visualization tools/frameworks as well as notebooks.
  • Hands-on experience with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
  • Strong written and verbal communication skills.
  • A strong desire to learn, and an inquisitive mind.
  • Ability to associate and present learnings to business leaders and engineers.
  • The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.
  • There’s no particular degree requirement; however, people with a background in Economics, Statistics, Industrial Operations, Math, Engineering, or CS may be particularly well-suited for the role.
About Snowflake
Snowflake Computing, the cloud data warehousing company, has reinvented the data warehouse for the cloud and today’s data. The Snowflake Elastic Data Warehouse is built from the cloud up with a patent-pending new architecture that delivers 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. Snowflake can be found online at snowflake.net.
Snowflake has been voted as one of the Bay Area Best Places to Work in 2015, 2016, and 2017. We are a place where people work effectively with the same values and vision. We focus on doing what is right for our customers, shareholders, and employees. We create great products, individually and as a team.