Job Description

Role - Data Analyst, Oracle Health - Cerner

Location Remote

Duration 1+ Year

Data Analyst, Oracle Health - Cerner

We are seeking a highly skilled and experienced Data Analyst with a deep understanding of the Oracle Health Cerner Electronic Health Record (EHR) system . The ideal candidate will be an expert in data analysis techniques and SQL, with a strong background in navigating and extracting data from Cerner's complex database structures . This role is critical in transforming raw healthcare data into actionable insights that drive clinical, operational, and financial improvements.

The successful candidate will be responsible for a wide range of data-related activities, including developing and executing data extraction strategies, performing detailed data analysis, and utilizing modern cloud-based tools to manage and process large datasets. Experience with Google Cloud Platform (GCP) and BigQuery is a key requirement for this position.

Key Responsibilities:

• Cerner EHR Data Expertise:
  • Serve as a subject matter expert on the Oracle Health Cerner EHR database structure and backend tooling/configuration.
  • Develop and execute strategies for data extraction from Cerner , utilizing appropriate backend tools and configurations.
  • Collaborate with clinical and operational stakeholders to understand data needs and translate them into technical requirements.
• Data Analysis and Reporting:
  • Apply expert-level data analysis techniques to complex healthcare datasets , identifying trends, patterns, and anomalies.
  • Develop and maintain data visualizations, dashboards, and reports to present findings to a non-technical audience.
  • Perform root cause analysis on data quality issues and work to implement solutions to improve data integrity.
• SQL and Data Warehousing:
  • Demonstrate expert-level proficiency in writing complex, optimized SQL queries to extract, transform, and analyze data.
  • Work with relational databases and data warehouses, including experience with data modeling and schema design.
• Cloud Data Platform (GCP):
  • Utilize Google Cloud Platform (GCP) tools, with a specific focus on BigQuery (BQ) , for data processing, storage, and analysis.
  • Manage and query large-scale healthcare datasets within a GCP environment.
  • Experience with DataVerse Clinical is a significant advantage, particularly in a GCP context.

Qualifications:

• Experience:
  • Minimum of 7 years of experience as a Data Analyst, preferably in a healthcare or health technology setting.
  • Proven, hands-on experience with the Oracle Health Cerner EHR system, including its database structure and backend configuration.
  • Demonstrable experience with data extraction, developing reports, and utilizing backend tooling within the Cerner ecosystem.
• Technical Skills:
  • Expert-level SQL proficiency is mandatory, with the ability to write complex joins, subqueries, window functions, and optimize query performance.
  • Expert-level knowledge of data analysis techniques and tools.
  • Strong working knowledge of Google Cloud Platform (GCP) services, specifically BigQuery (BQ) .
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Soft Skills:
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Excellent communication skills, with the ability to clearly articulate complex data findings to both technical and non-technical stakeholders.
  • Ability to work independently and manage multiple projects simultaneously in a fast-paced environment.
• Education:
  • Bachelor's degree in Computer Science, Health Informatics, Statistics, Mathematics, or a related field. Master's degree is a plus.

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