Entry-Level Healthcare Data Analyst (Hybrid/Remote)

Cognizant Technology Solutions Corporation; Phoenix (AZ); Hybrid; USD 59,000 - 72,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) plan

Paid holidays and PTO

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking an Entry-Level Healthcare Analyst to contribute to healthcare software projects and data initiatives. You will work on complex emerging technology and business projects to shape the next phase of innovation in healthcare, aligning with user needs and business goals.

You will join a team bridging development and operations, automating and streamlining processes while collaborating with software engineering to deploy and operate systems across

Qualifications

• Bachelor’s degree or equivalent; preferred majors in CS/CE/SE/IS/Data Analytics.
• Internship or academic experience with Java, .NET, C#, PL/SQL.
• Experience with cloud services: Azure, AWS, GCP, etc.
• Interested in data – Data Science, Data Analytics, Databases, large data sets, or data mining.
• Healthcare domain interest and willingness to learn newer technologies.

Responsibilities

• Assist in designing and developing software products for healthcare.
• Bridge development and operations to deploy and operate systems.
• Collaborate with software engineering to resolve issues in dev/test/production environments.
• Help automate and streamline operations processes across teams.

Skills

Java

.NET

C#

PL/SQL

Education

Bachelor’s degree

Tools

Azure

AWS

GCP

Job description

Cognizant Technology Solutions Corporation is seeking an Entry-Level Healthcare Analyst to contribute to healthcare software projects and data initiatives. You will work on complex emerging technology and business projects to shape the next phase of innovation in healthcare, aligning with user needs and business goals.

You will join a team bridging development and operations, automating and streamlining processes while collaborating with software engineering to deploy and operate systems across