Analyst – Strategy & Business Analytics
Posted on 3/1/2024
INACTIVE
Twin Health

501-1,000 employees

Personalized metabolic health improvement through digital twins
Company Overview
Twin Health excels in its unique approach to combating chronic metabolic diseases, leveraging advanced medical science and digital twin technology to create a personalized health journey for each member. The company's Whole Body Digital Twin™, a digital representation of an individual's unique metabolism, coupled with a dedicated care team, provides precise guidance and support, resulting in an impressive 84% remission rate for type 2 diabetes patients over six months, as per the American Diabetes Association's standards. The company's culture is mission-driven, with a strong emphasis on work-life balance, fostering a team dedicated to helping people improve their metabolic fitness.
Data & Analytics
Hardware

Company Stage

Series C

Total Funding

$233.8M

Founded

2018

Headquarters

Mountain View, California

Growth & Insights
Headcount

6 month growth

3%

1 year growth

8%

2 year growth

12%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Power BI
SQL
Tableau
Business Analytics
Data Analysis
CategoriesNew
Business Research
Strategy Development
Business & Strategy
Requirements
  • 1-4 years of experience at a strategy / management consulting firm; Health Plan or related entity
  • Healthcare or technology experience preferred
  • Proficient with SQL/SAS to extract, summarize, and analyze large data sets
  • Excel expert
  • Experience with data intelligence software such as Tableau or PowerBI is a plus
  • Experience with Medical and/or Pharmacy claims datasets is a plus
Responsibilities
  • Partner with key stakeholders and Twin’s Data Intelligence function to execute against quarterly roadmap of analytics deliverables across key domain areas such as Clinical care & quality, Commercial strategy and business development, and Business Review
  • Assist senior leadership in developing and analyzing KPIs on a monthly and quarterly cadence