Data Analytics Specialist

6 days ago

Bethesda, Maryland, United States Lifelancer Full time

Lifelancer is seeking a Data Manager to support various functions including day-to-day activities related to data, data clean up, change management process and liaison to data aggregator.

Job Description

In this role, you will participate in other related projects and perform other functions as may be required from time to time. The ideal candidate will have 3+ years of experience in a healthcare setting, healthcare data analysis setting, and/or related experience.

Responsibilities:
  • Data Management: Supports managing all client transitions and new initiatives related to data, system changes through the change request process, and UAT for each production release.
  • Data Analysis: Tracks program trends related to data and proactively communicates observations to management, analyzes reports for trends and gives recommendations.
  • Communication: Works closely with IT management team to support data transactions and acts as liaison between Operations, Business Analyst(s), IT as well as business partners, participates in client meetings.
  • Problem-Solving: Helps team members resolve work-related issues impacted by data issues, identifies data and reporting related client issues; receives and triages client requests.
Requirements:
  • Experience: 3+ years of experience in a healthcare setting, healthcare data analysis setting, and/or related experience.
  • Skills: Strong interpersonal skills, attention to detail, ability to communicate effectively both orally and in writing, strong analytical skills, strong organizational skills, proficiency in Microsoft Excel, Outlook, and Word.
Benefits:
  • Salary: $80,000 - $100,000 per year, depending on experience.
  • Work Environment: Moderate noise level, flexible schedule, some travel may be required.
About Lifelancer

CareMetx is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

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