Senior Data Analyst

APPLY NOW

Location: Phoenix, AZ
Job Number: 3326

Company Highlights

  • Our client offers a simple promise to the Managed Device Service industry – better care with lower costs.
  • Founded over 5 years ago out of a desire to help decrease the cost of delivering high-quality healthcare through technology and innovation.
  • With a team nearly 80 strong, they serve over 20,000 patients through an efficient SaaS platform which aggregates all the data a physician requires to quickly monitor those patients.
  • They are pioneering several forms of remote patient monitoring focused around cardiovascular health.
  • This is an ideal time to join a growing company and have a key role in their success.

Benefits and Features

  • Competitive salary
  • Health/Dental/Vision Insurance
  • 401(k)
  • Unlimited PTO
  • Bonus Program

The Role You Will Play

  • The Senior Data Analyst will turn data into information, information into insight and insight into business decisions.
  • In addition, this role will build dashboards for C-suite, Directors and team managers as well as identify signals and key performance indicators to allow data driven decision making.
  • This role will derive key business insights from complicated data sets by writing BigQuery and SQL.
  • The Senior Data Analyst is entrusted to migrate manual excel based processes to automated cloud systems.

Community Highlights

  • This role is based with the company in Phoenix, Arizona.
  • Phoenix is iconic as the capital of Arizona and is surrounded by several large and distinct city-suburbs, including Mesa, Tempe and Scottsdale to name a few.
  • There’s a variety of entertainment options from sports to spas and splash parks, there’s truly something for everyone.
  • Topped with abundant sunshine and pleasant winters, Phoenix is an ideal location. 

Background Profile

  • 2+ years of experience as a data analyst responsible for dashboard creation
  • Expertise building effective real-time dashboards detailing key business insights
  • Strong knowledge and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
  • Familiarity with reporting packages (Business Objects etc), databases (SQL, NoSQL, etc), programming (XML, JavaScript, or ETL frameworks)
  • Bachelor’s Degree in Data/Computer Science/Business/Statistics, MBA preferred