Actuarial Data Systems Analyst (Hybrid/Remote)

Blue Cross and Blue Shield of North Carolina; Kentucky; Hybrid; USD 81,000 - 130,000; Full time

Benefits offered by this job

Parental leave

Tuition reimbursement

401k match

Medical, dental, and vision coverage

PTO and wellness programs

Job summary

Blue Cross and Blue Shield of North Carolina is seeking an Actuarial Data Systems Analyst to deliver technical data support for Actuarial financial data systems and marts. You will identify business requirements and assist in trend and financial data analyses for Plan divisions.

The role involves developing data sets for data marts, performing monthly data refreshes, QA checks, and building data-driven decision-support solutions across medical and pharmacy claims data.

Qualifications

• Bachelor's degree or advanced degree required, 3+ years of experience in related fields.
• In lieu of degree, 5+ years of related field experience accepted.

Responsibilities

• Assist in designing and testing data sets delivered through Actuarial data marts.
• Support monthly data refreshes, validations, and QA checks for financial reporting.
• Develop decision-support solutions including medical and pharmacy claim data builds, extracts, reports, and data marts.
• Provide data definitions, file structures, and SQL/code governance guidance.
• Identify and implement department-wide best practices.
• Analyze data and system incidents; develop and communicate corrective actions.

Skills

SQL Analysis/Development

Healthcare data analytics

Snowflake

AWS

Education

Bachelor's degree or advanced degree

5+ years of experience in related field in lieu of degree

Job description

Blue Cross and Blue Shield of North Carolina is seeking an Actuarial Data Systems Analyst to deliver technical data support for Actuarial financial data systems and marts. You will identify business requirements and assist in trend and financial data analyses for Plan divisions.

The role involves developing data sets for data marts, performing monthly data refreshes, QA checks, and building data-driven decision-support solutions across medical and pharmacy claims data.