Health Data Analyst
Ingestion & Operations
Updated on 4/2/2024
Nuna

201-500 employees

Data & analytics for healthcare
Company Overview
Nuna's mission is to help make high-quality healthcare affordable and accessible for everyone. They do this by building data solutions for healthcare payers and providers to measure and improve their cost and quality outcomes.
Data & Analytics

Company Stage

Series B

Total Funding

$90M

Founded

2010

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

15%

1 year growth

16%

2 year growth

75%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
SQL
Data Analysis
CategoriesNew
Data Engineering
Data Management
Data Analysis
Data & Analytics
Requirements
  • Demonstrated track record working with data warehouse and ETL architectures
  • Ability to use SQL or other query and scripting languages to aggregate, gather and manipulate data through investigation or routine processes
  • A history of working with cloud-based data platforms
  • Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement
  • Ability to construct and debug complex SQL queries
  • Ability to operate with cross-functional teams (e.g. health data analysts, engineers, product, etc.)
  • Strong communication and teamwork skills
  • Ability to work under tight deadlines with challenging clients
  • Ability to work both independently and in team settings
  • A driven, proactive, positive, and transparent attitude
Responsibilities
  • Extract, transform and load data from source to target through multiple stages and maintain and ensure monthly data updates are delivered on-time to our customers
  • Gain insight into client facing data operations by contributing to mapping documents and technical requirements
  • Identification of functional data needs and pain points by operationalizing value based payment arrangements. Gain exposure to standard data transformation processes by organizing and managing large datasets
  • Use your knowledge of SQL to configure data quality rules based on business requirements and perform ad hoc data analysis. Expand technical knowledge by identifying inefficiencies and testing improvements
  • Serve as a technical resource in resolving client issues related to database or other data issues
  • Collaborate with Product Managers, Engineering, and Design to identify opportunities for process stability and cross functionality to better serve customer needs