Health Data Analyst Associate

Nuna Inc. · Silicon Valley CA

Company

Nuna Inc.

Location

Silicon Valley CA

Type

Full Time

Job Description

At Nuna, our mission is to make high-quality healthcare affordable and accessible for everyone. We are dedicated to tackling one of our nation’s biggest problems with ingenuity, creativity, and a keen moral compass.

Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't—and why.

Nuna partners with healthcare payers, including government agencies and health plans, to turn data into learnings and information into meaning.

YOUR TEAM 

Nuna’s products are built to help deliver value-based care, at scale, across the United States healthcare system. Value-based healthcare is a delivery model where providers are paid based on patient health outcomes, instead of traditional fee for service arrangements, driving delivery of higher quality care for patients at lower cost. Today, value-based care is incredibly difficult to operationalize so we’re making it easier with products that enable automated, accurate, and transparent operation of value-based payments.

YOUR IMPACT

We are seeking an individual who has limited data & analytics experience and is excited to jump into challenges related to ongoing operations and development of Nuna’s value-based care product features. You will have an opportunity to learn and grow by working with industry experts. In this role you’ll work as part of a cross-functional team of engineers, healthcare data experts, product managers, and customer liaisons to expand, adapt and configure Nuna’s data products towards the delivery of accurate and scalable value-based payment solutions. You will support the ongoing data operations of Nuna’s product features by tackling new data pipeline builds, bugs, fixes and enhancements to deliver measurable business value. You will also help Nuna’s product and engineering team understand clients’ needs and pain points to inform product roadmaps.

YOUR OPPORTUNITIES
  • Grow as a data analyst by gaining healthcare industry knowledge, building data pipelines and launching product features within a PDLC framework.
  • Translate client’s value-based care programming needs into technical specifications and solutions.  Solicit, interpret, and document business requirements and value based payment methodologies.
  • Collaborate with product, client management, engineering teams and the client to verify and validate Nuna’s implementation. 
YOU BRING
  • Expertise in SQL and/or Python
  • Academic/Project experience with Statistics, Economics, Population Health Analytics, Computer Science or similar
  • 1 year of experience working with data paired with a passion to connect with, understand, and shape the healthcare industry 
  • Strong oral and written communication skills
  • Keen attention to detail and deadline driven
BONUSES
  • Bachelor’s degree or above in quantitative or engineering fields (Statistics, Economics, Mathematics, Health/Medical Informatics, Computer Science, or similar)
  • Experience with programming languages such as Python or equivalent
  • Experience with healthcare and/or financial data sources
  • Experience working with customers or account owners
  • Experience with Enterprise Software Deployment

We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $60,000 to $90,000. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, and skillset.

Nuna is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status.

Apply Now

Date Posted

12/29/2022

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