Data Analytics Specialist
7 days ago
Company Overview
CareMetx is a leading provider of hub services, innovative technology, and decision-making data to pharmaceutical, biotechnology, and medical device innovators.
We are dedicated to supporting the patient journey from intake to outcomes. Our team is passionate about making a difference in the lives of patients and stakeholders alike.
As a Data Manager at CareMetx, you will play a critical role in supporting various functions related to data management, clean-up, change management process, and liaison to data aggregator.
**Job Summary:**
The successful candidate will have previous experience in healthcare data analysis or related fields, with a strong understanding of reimbursement, patient assistance programs, database elements, and functionality.
They will be responsible for managing client transitions, new initiatives related to data, system changes through the change request process, and UAT for each production release.
This role also involves working closely with IT management teams to support data transactions and acting as a liaison between operations, business analysts, IT, and business partners.
Key Responsibilities:
- Manage all client transitions and new initiatives related to data.
- Support managing all system changes through the change request process.
- Support the organization and execution of UAT for each production release.
- Work closely with IT management team to support data transactions and act as liaison between Operations, Business Analyst(s), IT as well as business partners.
- Build knowledge base that supports anticipating the impact to system and functionality overall.
- Track program trends related to data and proactively communicate observations to management.
- Assist with development of program training documents related to dashboards/portals.
- Support coordination of services with specialty pharmacy, client, and hub reimbursement team.
- Participate in strategic and tactical planning sessions.
- Help team members resolve work-related issues impacted by data issues.
- Provide feedback up and down the organization (Positive and Constructive).
- Participate in client meetings.
- Identify data and reporting related client issues; receive and triage client requests.
- Proactively identify program issues and propose ways in which to address their concerns.
- Maintain positive rapport with client.
- Analyze reports for trends and give recommendations.
- Analyze progress of tactical issues.
Required Skills and Qualifications:
- Previous 3+ years of experience in a healthcare setting, healthcare data analysis setting, and/or related experience.
- General knowledge of reimbursement, patient assistance programs, database elements, and functionality.
- Strong interpersonal skills and attention to detail.
- Ability to communicate effectively both orally and in writing.
- Ability to work after hours to assist with UAT testing.
- The ability to manage multiple tasks.
- Ability to build productive internal/external working relationships.
- Strong analytical skills.
- Strong organizational skills; attention to detail.
- Proficient in Microsoft Excel, Outlook, and Word.
- Provides a climate for motivation and support.
- Proven ability to appropriately escalate issues to management.
- Ability to resolve associate issues effectively and efficiently.
- General knowledge of reimbursement, patient assistance program, database elements, and functionality, operational policies and processes particularly distribution processes/interfaces.
- Proven ability to appropriately escalate issues to senior management.
- Strategic thinker with long-term planning experience.
- Critical thinking skills, creative, and innovative solutions to internal or external client needs.
Benefits:
- Competitive salary of $80,000-$100,000 per year.
- Opportunity to work with a dynamic team in a fast-paced environment.
- Professional development opportunities.
Others:
Lifelancer is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national origin.
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