Product Analytics Lead
Remote US
At Vanta, our mission is to secure the internet and protect consumer data. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Data and Analytics team is currently looking for a Product Analytics Lead to join us!
Youâll be responsible for laying the foundation for a best-in-class Business analytics function. Youâll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future.
What youâll do as the Product Analytics Lead at Vanta:
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 productÂ
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
Lead Analytics Reviews with C-level partners
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How to be successful in this role:
Have at least 8 years of experience working with data as a data scientist / analyst in an applied business context
Deep experience with data visualization
Professional experience with statistics and analytical techniques. Â
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 riskÂ
Intense curiosity about data, the world, where they match, and why they do or donât
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 quoÂ
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
Deep understanding of B2B SaaS predictive analytics
Experience working within Product Teams
Experience leading executive data reviews
Experience delivering change management with BI tooling
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What you can expect âŚ
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Remote US
Benefits/Perks100% covered Medical 100% covered medical, dental, and vision 100% covered Medical, Dental, and Vision Benefits 100% covered Medical, Dental, and Vision Benefits with Dependents Coverage 12 paid holidays 16 Weeks Fully Paid Parental Leave 16 weeks paid parental leave 401(k) matching Company paid holidays Competitive salary and equity Dental Dependents coverage Equity Flexible work hours Flexible Work Hours and Location Free wellness memberships Fully Paid Parental Leave Health stipend Health & wellness Health & Wellness Stipend Medical Medical, dental, and vision benefits Open PTO policy Paid holidays Paid parental leave Parental leave PTO PTO Policy Remote-first company Remote workspace stipend Team building activities Vision Vision Benefits
Tasks- Conduct statistical analysis
- Integration
AI Analytical Analytics B2B B2B SaaS C Catalyst Change Management Communication Compliance Customer Success Data Review Data Visualization Dbt Experiment Design HIPAA Hubspot Hypothesis Testing ISO 27001 Monitoring Predictive Analytics Product analytics Product Lifecycle Python R SaaS Salesforce Security Sigma Snowflake SOC 2 SQL Statistical analysis Testing Tooling Zendesk
Experience8 years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC+0 UTC+1 UTC-1 UTC+10 UTC-10 UTC+11 UTC+12 UTC+2 UTC-2 UTC+3 UTC-3 UTC+4 UTC-4 UTC+5 UTC-5 UTC+6 UTC-6 UTC+7 UTC-7 UTC+8 UTC-8 UTC+9 UTC-9