Entry level data analyst remote

Company Profile Important : After Applying , Check Inbox or Spam Folder For Next Steps. As the Data Analyst, you will provide Analytical and Technical support to the Client Implementation team. You ll work closely with senior team members to assist with data processing and analysis as needed to support business analytic solutions that will create actionable insights and drive better decisions and performance for our payer and provider clients.Primary Responsibilities:Working with Operations and Product Development staff to support applications/processes to facilitate the effective and efficient implementation/migration of new clients healthcare data through the Impact Product SuiteProcessing and analyzing health care data using Impact standard warehouse methodologies and softwarePerforming claims data mapping and validationsReviewing and analyzing client data via quality control processes for anomalies or other issues which could compromise product functionalityCommunicating data issues and discoveries with clients during the implementation process via written documentation, conference calls and occasional on-site meetingsDocumenting issues, resolutions and programming steps pertaining to the implementation process and client dataWorking with team members on managing the data implementation process from start to finish for clientsOther duties as assignedYou’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.Required Qualifications:Bachelor’s degree (or experience in Data Analytics, Computer Science, or MIS)1-2 years of experience with health insurance, healthcare, or pharmaceutical industry data1-2 years of programming experience using SQL, SAS and/or PythonExperience with claims data mapping and validationsPreferred Qualifications:Experience with Agile project methodology terminology and processesClient-facing experienceKnowledge and awareness of standard practices for quality control, audit trails, and documentationGeneral knowledge and exposure using SQL, dB Visualizer, AWS, Azure, other Cloud technologies.Exposure to non-relational databases and tools, such as Cassandra, Kibana, JSON, JAVA, Python, and SparkDemonstrated awareness of when to appropriately escalate issues/risksAbility to work independently in a rapidly changing environment Powered by Webbtree