The ad says“Strong experience working directly on A/B testing, including experiment design, deployment, and results interpretation”
The ad says“Advanced technical expertise with modern data stacks (i.e. dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.)”
The ad says“Deep understanding of product analytics metrics (e.g. conversion, churn, engagement, retention, LTV) and proficiency translating metrics into actionable insights”
The ad says“Deep understanding of product analytics metrics (e.g. conversion, churn, engagement, retention, LTV) and proficiency translating metrics into actionable insights”
The ad says“Advanced technical expertise with modern data stacks (i.e. dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.)”
The ad says“Deep understanding of product analytics metrics (e.g. conversion, churn, engagement, retention, LTV) and proficiency translating metrics into actionable insights”
The ad says“Strong experience working directly on A/B testing, including experiment design, deployment, and results interpretation”
The ad says“Advanced technical expertise with modern data stacks (i.e. dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.)”
The ad says“Advanced technical expertise with modern data stacks (i.e. dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.)”
The ad says“Deep understanding of product analytics metrics (e.g. conversion, churn, engagement, retention, LTV) and proficiency translating metrics into actionable insights”
The ad says“Deep understanding of product analytics metrics (e.g. conversion, churn, engagement, retention, LTV) and proficiency translating metrics into actionable insights”
The ad says“Advanced proficiency with Python/R for analytics/scripting and working with event-based data”
The ad says“Advanced proficiency with Python/R for analytics/scripting and working with event-based data”
The ad says“Deep understanding of product analytics metrics (e.g. conversion, churn, engagement, retention, LTV) and proficiency translating metrics into actionable insights”
The ad says“Advanced technical expertise with modern data stacks (i.e. dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.)”
This role will be an analytical engine behind data-driven decision-making in one of Rula’s Product pods. As an individual contributor, you will partner with senior leaders across Product, as well as teams in Data Engineering, Finance, Clinical, and Operations, to take ownership of generating insights and recommendations that shape strategy for product roadmap using data
You will translate broad questions into actionable research and discovery plans, perform proactive data exploration to identify actionable insights, and communicate results in a compelling manner
You will model the impact of new features, determine success criteria, and drive experimentation to evaluate new launches. Your work will grow the platform by driving improvements to our provider experience, quality, and ability to balance our marketplace
Benefits
The ability to work remotely from any location in the US
Two company-wide shut-down weeks a year for self-care
Access to 401(k) personal retirement plan
Medical, dental, and vision employer insurance plans
Paid parental leave to support you and your family
Employee Assistance Programs (EAP) through our insurance
The equipment you need for your home office
Pay and benefits that aren’t geo-locked
Preferred experience
Deep understanding of product analytics metrics (e.g. conversion, churn, engagement, retention, LTV) and proficiency translating metrics into actionable insights
Advanced technical expertise with modern data stacks (i.e. dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.)
7+ years of related professional experience in analytics or data science role, with 2+ years of experience focusing on product analytics
Demonstrated ability to work with non-technical cross-functional stakeholders
Strong experience working directly on A/B testing, including experiment design, deployment, and results interpretation
While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement
Experience within a fast-paced, high-growth startup environment with the ability to handle dynamic analytical priorities
A proven ability to connect analytics insights to business strategy, influencing product decisions that drive revenue and growth
Prior experience in healthcare industry
Advanced proficiency with Python/R for analytics/scripting and working with event-based data
