Vanta is looking to establish a best-in-class business analytics function to continuously monitor and verify security, empowering companies to practice better security and prove it with ease.
Requirements
- Deep experience with data visualization
- Professional experience with statistics and analytical techniques.
- Experience with experiment design and hypothesis testing in small n experiments.
- Building models for predicting the P(churn) of a customer
- Building models for predicting risk
- Deep understanding of Product analytics stacks (Heap, Amplitude, StatSig, client stride tracking, and browser mechanics) and integration of product data with Customer Success teams
- Deep understanding of Go to Market data stacks (Salesforce, Hubspot, Catalyst, Zendesk) and integration of product data with Customer Success teams systems and processes
Responsibilities
- Write DBT SQL pipelines to automate and manage data assets in Snowflake for our product partners.
- Python/R with Hex.tech to conduct statistical analysis of product usage and engagement data.
- Work in Sigma Computing to find insights in our customer journey
- Conduct and manage business enhancing analytical projects: defining and predicting churn, specifying and building a product
- Set the bar high for what is expected of predictive analytics projects.
- Define the analytics practice for our Product Analytics efforts
- Help craft our AI and LLM measurement practices
Other
- Have at least 4 years of experience working with data as a data scientist / analyst in an applied business context
- Intense curiosity about data, the world, where they match, and why they do or don’t
- Product lifecycle expertise, in particular converting a product experience into a growth analytics framework
- Executive communication skills. You can tell a compelling story about the status quo
- Deep understanding of B2B SaaS predictive analytics
- Experience working within Product Teams
- Experience leading executive data reviews
- Experience delivering change management with BI tooling
