At Vida, we help people get better- and we're helping the healthcare system get better, too.
Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health.
By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. Vida Health is seeking a Senior Analytics Engineer to serve as a high-impact, full-stack data partner. Positioned at the intersection of analytics engineering and data analysis, this role requires a practitioner who moves fluidly between technical development and strategic business partnership. You will own the entire lifecycle of data delivery- architecting pipelines from raw sources through dbt models and semantic layers into final Looker dashboards. You will embed directly with stakeholders to scope complex business questions, execute rigorous analyses, and independently translate ambiguous requirements into clear, decision-ready answers.
Make modeling decisions (grain, incremental strategies, data contracts) that bring order and stability to messy raw data sources.
Collaborate strategically with the core data engineering team to understand, shape, and optimize foundational data models.
Think critically about data limitations, challenge baseline assumptions, and articulate insights alongside their necessary caveats to both technical and non-technical audiences.
Bachelor’s degree at a minimum.
~5-7 years of senior-level experience spanning both analytics engineering and data analysis. You are a true full-stack data practitioner capable of independently executing projects end-to-end without hand-offs.
~ Advanced SQL proficiency alongside production-level dbt experience, with specific expertise configuring metric and semantic layers.
~ Comfortable navigating, testing, and contributing to non-trivial codebases utilizing dbt macros, exposures, and lineage.
~ Version control and CI workflows experience within modern cloud data warehouses (e.g., Fluent in LookML with a proven ability to author and refactor models, structure intuitive explores for self-service, and seamlessly bridge the gap between dbt models and downstream business users.
~ Proven track record of driving initiatives within the digital health and healthtech sectors.
Understanding of claims, clinical, and patient engagement data ecosystems, with a strict adherence to HIPAA guidelines and PHI data governance.
Experienced in launching data-driven experiments, building patient cohort analyses, and measuring outcomes to prove program efficacy.
$Diversity is more than a commitment at Vida—it is the foundation of what we do. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or Veteran status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
We seek to recruit, develop and retain the most talented people from a diverse candidate pool. We don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our platform and those we serve. Vida is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
S. as Vida is unable to sponsor work visas for any position.
international work is prohibited. LI-remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us.
Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health.
By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. Vida Health is seeking a Senior Analytics Engineer to serve as a high-impact, full-stack data partner. Positioned at the intersection of analytics engineering and data analysis, this role requires a practitioner who moves fluidly between technical development and strategic business partnership. You will own the entire lifecycle of data delivery- architecting pipelines from raw sources through dbt models and semantic layers into final Looker dashboards. You will embed directly with stakeholders to scope complex business questions, execute rigorous analyses, and independently translate ambiguous requirements into clear, decision-ready answers.
Make modeling decisions (grain, incremental strategies, data contracts) that bring order and stability to messy raw data sources.
Collaborate strategically with the core data engineering team to understand, shape, and optimize foundational data models.
Think critically about data limitations, challenge baseline assumptions, and articulate insights alongside their necessary caveats to both technical and non-technical audiences.
Bachelor’s degree at a minimum.
~5-7 years of senior-level experience spanning both analytics engineering and data analysis. You are a true full-stack data practitioner capable of independently executing projects end-to-end without hand-offs.
~ Advanced SQL proficiency alongside production-level dbt experience, with specific expertise configuring metric and semantic layers.
~ Comfortable navigating, testing, and contributing to non-trivial codebases utilizing dbt macros, exposures, and lineage.
~ Version control and CI workflows experience within modern cloud data warehouses (e.g., Fluent in LookML with a proven ability to author and refactor models, structure intuitive explores for self-service, and seamlessly bridge the gap between dbt models and downstream business users.
~ Proven track record of driving initiatives within the digital health and healthtech sectors.
Understanding of claims, clinical, and patient engagement data ecosystems, with a strict adherence to HIPAA guidelines and PHI data governance.
Experienced in launching data-driven experiments, building patient cohort analyses, and measuring outcomes to prove program efficacy.
$Diversity is more than a commitment at Vida—it is the foundation of what we do. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or Veteran status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
We seek to recruit, develop and retain the most talented people from a diverse candidate pool. We don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our platform and those we serve. Vida is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
S. as Vida is unable to sponsor work visas for any position.
international work is prohibited. LI-remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us.
Remote Senior Analytics Engineer in oregon state at Unknown Company
This position is listed as contract and able to be worked remotely.