Senior Encounters Data Analyst – Health Claims & SQL

CVS Health; Rhode Island; On-site; USD 47,000 - 122,000; Full time

Benefits offered by this job

Medical benefits

Dental & vision

Paid time off

Job summary

CVS Health is seeking a Senior Analyst, Informatics (Encounter Technical Analyst) to analyze and document business data and processes, conduct root cause analysis, and create reports to support business needs. This role focuses on varied claim and encounter data analysis within a healthcare context.

Responsibilities include writing SQL queries, developing system enhancements, and coordinating with stakeholders to drive data-driven decisions.

Qualifications

• Bachelor’s degree or equivalent work experience.
• 1+ years of relevant programming or analytical experience with SQL.
• Experience in working in a data warehouse environment and with large data sets from multiple sources.
• Healthcare/Claims/Encounters experience.

Responsibilities

• Daily activities include writing SQL queries, procedures, and reports for analysis of data trends or anomalies.
• Proactively define, identify, develop, and implement system enhancements to support business goals.
• Assist in development and prioritization of system updates; execute test scripts and report outcomes or defects.
• Proficient in SQL, write and modify queries, interpret results, conduct root cause analysis.
• Manage multiple projects and be responsible for results.
• Establish relationships with internal and external stakeholders.

Skills

SQL

Data analysis

Stakeholder management

Communication

Collaboration

Healthcare experience

Education

Bachelor’s degree

Tools

QNXT

Edifecs

EDI files

Job description

CVS Health is seeking a Senior Analyst, Informatics (Encounter Technical Analyst) to analyze and document business data and processes, conduct root cause analysis, and create reports to support business needs. This role focuses on varied claim and encounter data analysis within a healthcare context.

Responsibilities include writing SQL queries, developing system enhancements, and coordinating with stakeholders to drive data-driven decisions.