Senior Data Analyst

Labcorp is hiring a Senior Data Analyst. This person will locate, validate, and analyze data utilizing tools such as SAS, SQL, Access, VBA, and Cognos, from disparate sources to support RCM goals and RCM leadership requests. Combine specimen data from all systems in the RCM life cycle (lab and billing), claim transactions, and data elements provided in policies from payers and government entities to influence and initiate changes in claim outcomes, payer behavior, or system processing. Reduce risk of lost revenue to company through Systems Control support research, monitoring of system functions through alert modeling, and business rule development of system changes.

RESPONSIBILITIES

• Develop large scale research level analysis, containing elements of:

• Claim level data from billing or lab system in current state or following claim life cycle from order to post adjudication activity
• Noting recognition of system opportunities
• Industry standard transactions to and from payer
• Payer policy information applied to claim detail and system data
• Problem solving through applied cleverness and curiosity

• Work effectively with data and consistently validate the data and the results
• Use statistical sampling and modeling to drive guidance
• Present analysis findings as a story that:

• Drive change in other business units
• Consistently alert business of deviations from the normal process
• Predict where research or change should be focused next

• Follow, and suggest changes to, business rule development for system technology changes using knowledge of system flow, policy guides, and claim examples
• Participate in team and RCM Policy discussions as active participant or facilitator

• Share own work and share ideas on other team efforts
• Support team development with sharing of data analysis concepts and techniques

• Support industry activities of RCM Policy under industry workgroups, acquisitions, and payer meetings with research or process testing
• Use methods of data collection from industry standard sources to develop analyses that support Business Solutions team member efforts at industry level

REQUIREMENTS

• 5 - 10 years of experience in data analytics
• Able to use tools such as SAS, SQL, Access, Excel, VBA, Cognos
• Communicate with stakeholders on data findings and recommendations on population resolution
• Ability to learn new tools and techniques to adapt to changing requirements
• Experience in leading data analysis projects and teams
• Current or previous Labcorp experience is preferred

EDUCATION

• Bachelors in Statistics, Mathematics, Informatics, Computer Science, Information Systems, or other like field required; Masters preferred

Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

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