Data Automation Analyst for EDW & BigQuery

Baptist Health Arkansas; Little Rock (AR); On-site; USD 65,000 - 85,000; Full time

Job summary

Baptist Health Arkansas is seeking a Data Analyst to build and maintain automated data capabilities within the Enterprise Data Warehouse (EDW). The role focuses on data integrity, timely delivery, and proactive monitoring to support reliable operations.

Responsibilities include developing automated data systems, collaborating with BI Analysts and Data Engineers, and converting manual data pulls into efficient, automated processes.

Qualifications

• Bachelor’s degree in a relevant field; data analytics/mathematics/IT preferred.
• Two years of relevant experience in data analytics preferred.
• Strong SQL skills required.
• Google BigQuery skills required.

Responsibilities

• Build automated data capabilities within the EDW to support reliable delivery and data integrity.
• Develop automated data systems and oversee data normalization within the EDW.
• Engineer end-to-end automated solutions focused on data integrity, timely delivery, and proactive monitoring.
• Collaborate with Operational Leaders, BI Analysts, and Data Engineers to deliver “set-it-and-forget-it” workflows.
• Automatically aggregate complex datasets and provide raw data for downstream analysis.
• Act as an early warning mechanism by notifying stakeholders when anomalies occur or thresholds are met.
• Convert manual data pulls into efficient, automated processes that produce intelligence with less effort.

Skills

SQL

Google BigQuery

Communication

Learning agility

Education

Bachelor’s degree required

Job description

Baptist Health Arkansas is seeking a Data Analyst to build and maintain automated data capabilities within the Enterprise Data Warehouse (EDW). The role focuses on data integrity, timely delivery, and proactive monitoring to support reliable operations.

Responsibilities include developing automated data systems, collaborating with BI Analysts and Data Engineers, and converting manual data pulls into efficient, automated processes.