Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
The Lead Analytics Engineer should possess a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related area, and have at least 5 years of experience in data engineering or analytics, with a focus on building and maintaining data pipelines. Strong proficiency in SQL and Python is required, along with experience in data transformation and analytics infrastructure development.
As a Revenue Analytics Lead, you will design and maintain Maven’s data transformation and analytics infrastructure to support Revenue Operations, Finance, and Go-to-Market (GTM) teams, build tools to automate enrollment forecasts by integrating data from various teams, partner with cross-functional teams to design data structures for reporting, cleanse and integrate historical datasets, and implement data governance to ensure data accuracy and consistency.
Digital health platform for women's healthcare
Maven Clinic provides a digital health platform focused on women's and family health services. It offers a wide range of support, including preconception care, fertility preservation, IVF, adoption, surrogacy, and menopause care. The platform connects users with dedicated Care Advocates and utilizes data-driven insights to ensure equitable access to healthcare, regardless of location or background. This approach helps improve health outcomes and reduces the need for expensive medical procedures. Maven Clinic's services include on-demand appointments with specialized providers, ongoing assessments, and proactive check-ins, which enhance member engagement and allow for early risk identification. The company aims to deliver comprehensive care while achieving significant clinical and business returns on investment.