Data Science Manager
PatientPointSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries
Position Overview
- Location Type: Remote with Roots (Continental US, excluding Montana)
- Job Type: Full-time
- Salary: Not specified
Paytient is a company dedicated to improving access and affordability of healthcare. They partner with employers and health plans to ensure members can easily access and afford care. Founded in 2018, Paytient now serves nearly 6,000 employer health plans and is focused on the growing Medicare business, specifically the Medicare Prescription Payment Plan (M3P) in 2025 and beyond. The company operates under a “remote with roots” model, allowing for flexibility while encouraging occasional in-person gatherings.
About The Role
As an Analytics Manager, you will lead a full-stack analytics engineering team, working closely with data, product, engineering, and marketing teams. You'll collaborate with health plan clients and cross-functional teams to define project requirements and priorities, driving best practices in analytics engineering to maintain consistent delivery, high-quality reports, and scalable solutions. This role is crucial to Paytient's growth and ability to serve millions of Medicare beneficiaries through the M3P program.
Responsibilities
- Lead a small full-stack analytics engineering team.
- Utilize technologies like dbt, Python, SQL, and Looker to transform raw data into actionable reports and datasets.
- Collaborate with health plan clients and cross-functional teams to define project requirements and priorities.
- Drive best practices in analytics engineering for consistent delivery, high-quality reports, and scalable solutions.
- Recruit and onboard new team members, fostering their growth and development.
Requirements
- Healthcare industry experience (bonus points for working with health plans and PBMs).
- 5+ years of experience in data analytics, data engineering, or data product management.
- Proven track record of thriving in greenfield environments.
Company Information
- Founded: 2018
- Mission: To help people better access and afford care.
- Current Clients: Nearly 6,000 employer health plans.
- Model: “Remote with Roots” – flexible work environment with occasional in-person gatherings.
Skills
dbt
Python
SQL
Looker
Data Analytics
Data Engineering
Data Product Management
Paytient
Platform for managing out-of-pocket medical expenses
About Paytient
Paytient provides a platform that helps employees manage their out-of-pocket medical expenses more effectively. The service integrates with existing payroll systems, allowing employees to set up flexible payment plans for their medical costs. This means that instead of paying for healthcare expenses all at once, employees can spread the payments over time, making it easier to afford necessary treatments and medications. Paytient differentiates itself from competitors by focusing on partnerships with employers and insurers to offer this benefit as part of health plans, which enhances employee satisfaction and retention. The goal of Paytient is to reduce the financial burden of healthcare costs, ultimately improving employee well-being and productivity.
Columbia, MissouriHeadquarters
2018Year Founded
$35.9MTotal Funding
DEBTCompany Stage
Fintech, Financial Services, HealthcareIndustries
51-200Employees