Senior Analytics Engineer

Wellth strives to motivate and incentivize healthy habits through individualized care plans. Our approach draws on a unique combination of behavioral economics, habit science, and cutting-edge technology to drive positive behavior and habit change among some of the US's most underserved and high-needs patient populations. Our work has produced demonstrable results, with several large health insurers reporting significant reductions in hospitalization rates by up to 44% in some cases. Our ambition is to be more than just another digital health startup; we aspire to be a category leader in the $88B health outcomes market, singularly focused on improving the lives and medical outcomes of historically hard-to-engage populations. Our work immediately impacts people's lives daily; we have served over 65,000 patients and prevented an estimated 15,000 days in the hospital and 530 lives.

Architect and implement scalable analytics to track growth marketing performance.
Develop and maintain a codebase for Wellth’s data analysis and visualization package, focusing on user growth / acquisition marketing
Develop predictive models to identify high-risk patients for Wellth programs, optimize growth metrics like enrollment and churn, and determine propensity to enroll in program.
Integrate multiple marketing channels and experiments in a scalable manner to power analytics and model building
Build durable self-service data tools operating on marketing data across diverse channels (email, sms, mail, phone, in-clinic, and more) that support insights for our marketing team
Design and analyze A/B growth marketing tests to assess the effectiveness of different customer acquisition strategies and campaigns.
Triage operational issues, address data bugs, and create and maintain documentation.
Be a thought leader on industry best practices and emerging technologies to improve processes, while partnering with Acquisition Marketing and Product teams to educate, ask better questions, and drive informed decisions.

5+ years of professional experience as an analytics engineer or data analyst working with marketing-related data sets
Experience working with marketing tech stacks - campaign orchestration systems, channel execution systems, CRMs, DMPs, ESP, website analytics, twilio, ad platforms, SEO and more
Experience with architecting and operating production data systems: responding to and triaging issues, optimizing performance, and increasing stability, among other things.
Advanced proficiency in writing clean and maintainable SQL, Python, and shell scripts for automation, analysis, and ETL using industry best practices.
Experience working on software development teams, including proficiency with Git for collaborating via pull/merge requests and knowledge of agile and scrum methodologies.
Comfort with autonomy in the face of ambiguous problems, delivering independently and in a team environment.
Excellent verbal and written communication skills and the ability to present complex data in an accessible way.