Cardinal Health is a global healthcare services and products company headquartered in Dublin, OH. The Sr. Analyst, Data Engineering plays a critical role in enabling data-driven decision-making by partnering with the Real-World Evidence team to design, build, and maintain analytical data assets and dashboards.
Responsibilities:
- Partner with RWE and Business Development teams to understand analytical requirements and translate business questions into scalable data solutions
- Design, build, and maintain Analytical Data Bases (ADBs) using SQL and Python to support RWE initiatives
- Conduct exploratory data analysis to identify trends, patterns, and opportunities within specialty healthcare data
- Support ad hoc and recurring analytical requests related to RWE studies, customer opportunities, and network growth
- Collaborate with data engineering, product, and analytics teams to improve data availability and analytics best practices
- Document data models, business logic, and dashboard definitions to support transparency and reuse
Requirements:
- Bachelor's degree in Data Analytics, Computer Science or a related field, or equivalent work experience
- 2+ years of experience in a data analyst or analytics role
- Strong proficiency in SQL for querying and transforming large datasets
- Working knowledge of Python and/or R for data analysis
- Ability to translate complex analytical findings into clear business insights
- Strong attention to detail and commitment to data quality
- Strong stakeholder engagement and communication skills
- Knowledge of data modeling concepts and analytical best practices
- Hands-on experience with Databricks or similar big data analytics platforms
- Experience supporting Real-World Evidence (RWE), healthcare analytics, or life sciences data
- Familiarity with healthcare and EMR data
- Experience working in a cloud-based data ecosystem (e.g., Azure, GCP)
- Experience developing dashboards and visual analytics using BI Tools (Tableau, PowerBI, etc)