Lead Data Analytics Engineer, Population Health

LCH Lab. Corp. of America Holdings; North Carolina; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k)

Paid Time Off

Tuition Reimbursement

Employee Stock Purchase Plan

Job summary

Labcorp in North Carolina seeks a Lead Programmer to join the Population Health Informatics team. The role focuses on developing population analytics tools, creating Insight Analytics products, and leading end-to-end software development from concept to production.

You will optimize ETL, build data pipelines, and deliver dashboards via Tableau and Power BI, SAP HANA, Alteryx, and Python. The ideal candidate has strong collaboration skills, healthcare knowledge, and experience turning data into

Qualifications

• Bachelor's degree and 7+ years in application development, data visualization, and data engineering.
• 5+ years experience in data visualization with Tableau and Power BI.
• 5+ years of experience with SQL databases.

Responsibilities

• Develop population analytics tools using LabCorp data to improve patient care.
• Lead the full development cycle from concept to production for Insight Analytics offerings.
• Define requirements with stakeholders and document specifications for new systems.
• Optimize ETL processes and build data pipelines supporting dashboards (Tableau/Power BI).
• Provide analytical support for sales initiatives and client reporting.

Skills

Communication skills

Team player

Healthcare knowledge

Statistics basics

Collaboration

Innovative thinking

Education

Bachelor's degree

Tools

Tableau

Power BI

Alteryx

SQL

SAP HANA

Excel

Job description

Labcorp in North Carolina seeks a Lead Programmer to join the Population Health Informatics team. The role focuses on developing population analytics tools, creating Insight Analytics products, and leading end-to-end software development from concept to production.

You will optimize ETL, build data pipelines, and deliver dashboards via Tableau and Power BI, SAP HANA, Alteryx, and Python. The ideal candidate has strong collaboration skills, healthcare knowledge, and experience turning data into