Product Analytics: Analyze user behavior, feature adoption, product performance metrics, and user engagement patterns
A/B Testing: Design, implement, and analyze product experiments and A/B tests to optimize user experience and product features
Retention Analysis: Build and maintain customer retention models, cohort analysis, and churn prediction models
Customer Lifecycle: Analyze customer journey, lifecycle stages, conversion funnel optimization, and user segmentation
Advanced SQL Analysis: Perform complex data analysis using advanced SQL techniques for product insights
Dashboard Development: Create and maintain product analytics dashboards and automated reports
Cross-functional Collaboration: Partner with product, engineering, marketing, and customer experience teams
Ad Hoc Analysis: Provide analytical support for product team decisions, feature launches, and strategic initiatives

5-7 years of data analysis experience with focus on product analytics and user behavior
Expert SQL Skills: Advanced SQL proficiency including complex joins, window functions, CTEs, and query optimization
A/B Testing Expertise: Strong background in experimental design, statistical analysis, hypothesis testing, and A/B testing platforms
Product Analytics: Deep experience with product analytics platforms (Mixpanel, Amplitude, Google Analytics) and product metrics
Statistical Analysis: Solid understanding of statistical significance, confidence intervals, power analysis, and experimental design
Data Visualization: Proficiency with creating clear, actionable dashboards and reports using BI tools
User Behavior Analysis: Experience analyzing user journeys, conversion funnels, and behavioral patterns
Business Intelligence: Experience with Looker, Tableau, or similar BI platforms (Omni experience a plus)
Data Warehousing: Experience with Snowflake, BigQuery, or similar cloud data warehouse platforms
dbt Knowledge: Familiarity with dbt for data transformation and modeling

Customer First Mentality
every decision we make should be made through the lens of the customer
Bias for Action
urgency is critical, expect that the timeline to get something done is accelerated
Ownership
step up if you see an opportunity to help, even if not your core responsibility
Humility and Respect
be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect
Frugality
being frugal and cost-conscious helps us do more with less
Deliver Impact
get things done most efficiently
Raise our Standards
always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be

Senior Data Analyst

Key skills