Overview
On Site
USD 114,000.00 - 166,700.00 per year
Full Time
Skills
Artificial Intelligence
Cloud Computing
Reporting
Quantitative Analysis
Decision-making
Performance Improvement
Google Tag Manager (GTM)
Data Science
Analytics
Go-To-Market Strategy
Leadership
Sales
Expect
Scripting
Python
SQL
Machine Learning (ML)
Algorithms
Extraction
Computer Science
Mathematics
Physics
Clarity
Data Visualization
Git
Collaboration
Modeling
scikit-learn
TensorFlow
Data Security
Innovation
Snow Flake Schema
Job Details
Build the future of the AI Data Cloud. Join the Snowflake team.
Reporting to the Director of GTM Analytics, you will be part of a team charged with structuring and executing the quantitative analyses and building advanced data products needed to run day to day operations and inform sales and company executive strategic decision making to meet our rapid growth objectives. You will collaborate cross functionally to drive performance improvement, contribute to GTM strategy planning, and be the go-to expert on all GTM metrics. You will be a key part of the hands-on group driving strategy for Sales.
IN THIS ROLE YOU WILL GET TO:
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
PREFERRED QUALIFICATIONS:
Are you up for the challenge?
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 growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Reporting to the Director of GTM Analytics, you will be part of a team charged with structuring and executing the quantitative analyses and building advanced data products needed to run day to day operations and inform sales and company executive strategic decision making to meet our rapid growth objectives. You will collaborate cross functionally to drive performance improvement, contribute to GTM strategy planning, and be the go-to expert on all GTM metrics. You will be a key part of the hands-on group driving strategy for Sales.
IN THIS ROLE YOU WILL GET TO:
- Own end to end data projects related to sales notification system that push insights and signal to sellers in a scalable way
- Build data science models to drive predictive and prescriptive analytics to influence go-to-market strategy
- Conduct ad-hoc analysis to understand unexpected metric movements and communicate results to other data scientists, operations team, and company leadership
- Contribute in building advanced data projects for the sales team and create alignment with key stakeholders and cross-functional teams.
- Drive the design, building, and launching of new data models and data pipelines in production
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
- Proficient experience with scripting languages, specifically Python
- Hands on at SQL with advanced operations (partitions, permissions, CTEs, views, etc.)
- Working knowledge of basic ML algorithms, feature extraction & selection, and interpreting results
- Master/Bachelors in Computer Science, Math, Physics, or other technical field
- Comfortable with ambiguity and moving pieces - we're growing fast
- Ability to communicate your analysis with clarity and precision to both technical and non-technical teams
PREFERRED QUALIFICATIONS:
- Experience with data visualization
- Experience with Git, code reviews, and coordination frameworks (e.g. Airflow)
- Working knowledge of at least one modeling framework (e.g. scikit-learn, TensorFlow)
Are you up for the challenge?
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 growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.