We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.
We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.
We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.
About the Role
Join Rula as a Senior Product Analytics Manager and be at the forefront of data-driven decision-making. In this role, you’ll partner with senior leaders across Product, Data Science, Engineering, Finance, and Operations to turn complex business challenges into actionable insights. You'll take ownership of generating data-driven recommendations that directly influence our product roadmap, driving platform growth and improving clinical outcomes. Your work will have a meaningful impact on the patient-provider experience, making a tangible difference in healthcare. If you're passionate about using data to solve complex problems, collaborating with diverse teams, and shaping the future of our product, we’d love to have you on our team!
Required Qualifications
Bachelor’s (or higher) degree in Math, Economics, Computer Science, Statistics, or other quantitative fields
5+ years of experience in data analytics, with 2+ years in product analytics
Proficiency with modern data stacks for data pipelines (e.g., dbt, Airflow) and data visualization tools (e.g., Looker, Tableau, Hex)
Experience in statistical analysis and A/B testing
Deep understanding of product analytics metrics (e.g., retention, conversion, engagement, churn) and ability to translate them into actionable insights
Experience with Python/R for analytics and scripting (or similar programming languages/tools)
Preferred Qualifications
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.
Start-up or Marketplace experience with an analytic role
Ability to connect analytics insights to business strategy, influencing product decisions that drive revenue and growth.
2+ years of experience mentoring junior team members
Experience working with event-based data
We're serious about your well-being! As part of our team, full-time employees receive:
100% remote work environment (US-based only): Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments
Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States
Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
401(k) plan access: Start saving for your future
Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)
Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering
Employee Assistance Program (EAP): Support for your mental and physical health
New hire home office stipend: Set up your workspace for success
Quarterly department stipend: Fund team-building activities or in-person gatherings
Wellness events and lunch & learns: Explore a variety of engaging topics
Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all
Our team
We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.
