Data Analyst
Posted on 7/25/2023
INACTIVE
RVO Health

1,001-5,000 employees

Comprehensive health & wellbeing platform providing information, doctor
Company Overview
RVO Health stands out as a leading health and wellbeing platform in the US, serving nearly 100 million people monthly with medically-backed information and services, including doctor discovery, prescription savings, and virtual coaching programs. Their extensive portfolio, including Healthline Group and Healthgrades, offers a comprehensive suite of resources, from condition-based communities to an ecommerce store for health products, making healthcare more navigable and affordable. Backed by Red Ventures and Optum, RVO Health's commitment to accuracy and accessibility in health support sets a high industry standard.
Energy
Social Impact
Financial Services
Real Estate
Education
Consumer Goods

Company Stage

N/A

Total Funding

N/A

Founded

2022

Headquarters

Charlotte, North Carolina

Growth & Insights
Headcount

6 month growth

6%

1 year growth

23%

2 year growth

23%
Locations
Charlotte, NC, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Marketing
Sales
SQL
Tableau
Looker
CategoriesNew
Data & Analytics
Requirements
  • Minimum of 2+ years of experience in complex business analysis, digital analysis, or marketing analysis role
  • Proficiency in visualization tools such as Tableau or Looker
  • Extensive experience in building SQL queries across complex relational database experience
  • Demonstrated ability to solve problems with creativity and little direction
  • Demonstrated ability to synthesize data into impactful insights and communicate recommendations to leadership
  • Effective interpersonal and communication skills, with a track record of working well with business stakeholders
Responsibilities
  • Provide strategic insights derived from digital marketing, web event, and sales data that drive marketing investment and customer experience decisions
  • Use statistics to identify the significance, noise, and correlation in data
  • Conduct hands-on advanced analytics using multiple data sources originating from different applications and systems
  • Build relationships with business teams and data science teams to identify opportunities for deep analytics on customer behavior and site performance
  • Build compelling visualizations and interactive dashboards that enable us to democratize analvtics
  • Work with data science, data engineers, and business teams to build scalable and effective data products
  • Identify opportunities to use advanced analytics to develop new strategies and improve business performance