Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
We are deeply committed to growing a diverse team and an equitable and inclusive culture where all Quartetians are empowered to be themselves and do their best work. We know this is vital in realizing our mission to improve the lives of people with mental health conditions. As part of our commitment to building a diverse team, we have signed the Parity Pledge and actively encourage applicants of all backgrounds to apply.
About the team & Opportunity:
Quartet is looking for a Data Analyst to specialize in reporting to build out customer facing reports and scale our analytics function. The ideal candidate has a deep understanding of data, and robust experience in presenting it effectively.
In this role, you will be responsible for Quartet's customer reporting from end to end. This includes gathering requirements and translating requirements into reporting solutions though SQL and our BI tool, Looker, provide quality assurance, and presenting these reports back to the customer as well as to Quartet’s senior leadership. You will also be responsible for collecting feedback and providing revisions into reporting products for continuous improvement.
This position requires outstanding analytic and communication skills, the ability to collaborate with a wide variety of colleagues, as you will be working cross-functionally with Quartet teams such as Product, Data Engineering, Data Science, and Customer Success.
The Data Analyst will work alongside other Analysts and Analytics Engineers and Data Analysts, and report to the Manager of Business Intelligence.
- Improving upon our data reporting by collecting feedback from multiple stakeholders
- Improve data quality of reporting though tests, refactoring, and reviews
- Create documentation for technical and not technical teams on reporting definitions and how to use the reports
- Present reports and analytics to customers and internal stakeholders
- 3+ years of experience in SQL (preferably in a daily capacity)
- 3+ years generating customer-facing reports (specifically, using Looker)
- Experience with data visualization tools (preferably Looker)
- Experience working with customers to understand business problems and map abstract problems to data that can be used to solve them
- Experience with dbt
- Experience working with Health Insurance Plans or Health Systems
- Experience in R or Python
Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, team events, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental and military leave, commuter benefits, 401K, and stock option grants.
Want to know what Quartet life is like? Click here to meet our team.
Quartet actively encourages applicants of all backgrounds to apply and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. To perform this job successfully, an individual must be able to perform essential job duties - reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions. If you require assistance in completing this application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]
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