Note: The job is a remote job and is open to candidates in USA. Cardinal Health is a healthcare services and products company, and they are seeking a Senior Specialist in Data Analytics. The role involves overseeing the analytics life-cycle to provide insights that drive business decisions, managing analytic data platforms, and applying advanced quantitative modeling.
Responsibilities
- Hands-on experience with Python scripting for data engineering and automation preferred
- Experience with enterprise scheduling tools such as Airflow, UC4, AutoSys, or Control-M preferred
- Experience with AI/ML-driven data platforms, including feature engineering and data pipelines supporting analytics or machine learning workloads preferred
- Experience with Large Language Models (LLMs) and Generative AI (GenAI), use cases, or integrations (e.g., leveraging data platforms for AI-driven insights or automation) preferred
- Experience with enterprise data platforms such as GCP BigQuery, Databricks preferred
- Expertise in database design, data modeling, and performance optimization preferred
- Expert-level experience developing database objects including SQL, stored procedures, views, partitioning, indexing, and query optimization preferred
- Experience building semantic layers for analytics consumption using tools such as AtScale and/or LookML preferred
- Experience working on large-scale, business-critical data platforms preferred
- Experience leading or mentoring small development teams preferred
- Hands-on experience with DevSecOps and CI/CD practices, including tools such as GitHub, Airflow, and pipeline automation preferred
Skills
- Bachelors Degree in related field or equivalent work experience
- Experience with innovative analytical insights
- Hands-on experience with Python scripting for data engineering and automation preferred
- Experience with enterprise scheduling tools such as Airflow, UC4, AutoSys, or Control-M preferred
- Experience with AI/ML-driven data platforms, including feature engineering and data pipelines supporting analytics or machine learning workloads preferred
- Experience with Large Language Models (LLMs) and Generative AI (GenAI), use cases, or integrations (e.g., leveraging data platforms for AI-driven insights or automation) preferred
- Experience with enterprise data platforms such as GCP BigQuery, Databricks preferred
- Expertise in database design, data modeling, and performance optimization preferred
- Expert-level experience developing database objects including SQL, stored procedures, views, partitioning, indexing, and query optimization preferred
- Experience building semantic layers for analytics consumption using tools such as AtScale and/or LookML preferred
- Experience working on large-scale, business-critical data platforms preferred
- Experience leading or mentoring small development teams preferred
- Hands-on experience with DevSecOps and CI/CD practices, including tools such as GitHub, Airflow, and pipeline automation preferred
- 2+ years experience in related field preferred
- Proficiency in Microsoft Office products preferred
- Business Requirements documentation experience preferred
- Strong understanding of Agile development methodologies preferred
- Excellent written and verbal communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders preferred
Benefits
- Medical, dental and vision coverage
- Paid time off plan
- Health savings account (HSA)
- 401k savings plan
- Access to wages before pay day with myFlexPay
- Flexible spending accounts (FSAs)
- Short- and long-term disability coverage
- Work-Life resources
- Paid parental leave
- Healthy lifestyle programs
Company Overview
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