Senior Full-Stack Analytics Engineer — Healthcare Data

Cardinal Health; Topeka (KS); Remote; USD 95,000 - 136,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

401k savings plan

Paid time off plan

Health savings account (HSA)

Flexible spending accounts (FSAs)

Parental leave

MyFlexPay

Wellness programs

Job summary

Cardinal Health in the United States is seeking a BioPharma Reporting & Specialty Analytics engineer. This full-stack software engineer will deliver analytics from multiple clinical data sources in an agile environment to transform healthcare into safer, more cost-effective solutions.

You will build analytic products, dashboards, and reports from EMR, PMS, and PDS data, collaborate across teams, and contribute to CI/CD pipelines and cloud-based data platforms.

Qualifications

• Bachelor's degree in related field or equivalent work experience

Responsibilities

• Build analytic products from clinical data sets sourced from EMR, PMS, and PDS
• Develop reports and dashboards to drive efficacy and usage of clinical products
• Enrich data elements from reference systems to enhance analytic offerings
• Develop and define new products for pharmaceutical data initiatives
• Support and build Sales enablement tools for feasibility requests
• Handle daily operations and support for analytics platforms

Skills

Python

SQL

Data Visualization

CI/CD

GCP

Kubernetes

Open-source technologies

Experience with healthcare data

CI/CD pipelines

Education

Bachelor's degree in related field

Tools

SSIS

Airflow

Tableau

GKE Kubernetes

Liquibase

ArgoCD

Harbor

Job description

Cardinal Health in the United States is seeking a BioPharma Reporting & Specialty Analytics engineer. This full-stack software engineer will deliver analytics from multiple clinical data sources in an agile environment to transform healthcare into safer, more cost-effective solutions.

You will build analytic products, dashboards, and reports from EMR, PMS, and PDS data, collaborate across teams, and contribute to CI/CD pipelines and cloud-based data platforms.