1

Clinical Informatics Data Analyst Jobs in Duarte, CA

... Informatics, Information Systems, Data Management, or a related field โ€ข In lieu of the required ... with clinical, operational, and technical stakeholders โ€ข Proficiency in data profiling, data ...

Showing results 41-60

Clinical Informatics Data Analyst information

See Duarte, CA salary details

$44.6K

$89.9K

$131.2K

How much do clinical informatics data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for clinical informatics data analyst in Duarte, CA is $89,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $105,000.00 per year, depending on experience, location, and employer.

What does a clinical informatics data analyst do?

A Clinical Informatics Data Analyst is responsible for collecting, analyzing, and interpreting healthcare data to improve patient care and operational efficiency. They work closely with clinical staff and IT teams to develop reports, dashboards, and data-driven insights that inform decision-making. Their duties often include cleaning and organizing data, ensuring data integrity, and supporting electronic health record (EHR) systems. They play a vital role in identifying trends, optimizing workflows, and ensuring compliance with healthcare regulations.

How does a clinical informatics data analyst collaborate with clinicians and IT teams to improve healthcare outcomes?

Clinical Informatics Data Analysts frequently act as a bridge between clinical staff and IT departments. They work closely with clinicians to understand workflow needs and data challenges, then translate those requirements into technical solutions or data reports. Regular meetings, project updates, and cross-functional teams are common, allowing the analyst to ensure that the data systems effectively support patient care and operational goals. This collaboration is vital for implementing new technologies, optimizing electronic health records, and ensuring data-driven decision-making in healthcare settings.

What is the difference between Clinical Informatics Data Analyst vs Clinical Data Coordinator?

AspectClinical Informatics Data AnalystClinical Data Coordinator
CredentialsBachelor's in health informatics, data analysis, or related field; certifications like CPHIMS beneficialBachelor's in health sciences, nursing, or related field; often requires experience in clinical data management
Work EnvironmentHospitals, clinics, health IT companies, research institutionsHospitals, clinics, healthcare facilities, research settings
Primary FocusAnalyzing clinical data, developing reports, supporting informatics projectsManaging and maintaining clinical data, data entry, quality assurance

The Clinical Informatics Data Analyst focuses on analyzing and interpreting clinical data to support healthcare decisions, while the Clinical Data Coordinator manages and ensures the accuracy of clinical data entry and maintenance. Both roles work within healthcare settings but have different primary responsibilities related to data handling and analysis.

What skills and qualifications are needed to thrive as a clinical informatics data analyst?

To thrive as a Clinical Informatics Data Analyst, you typically need a background in healthcare, data analysis, and informatics, often supported by a degree in health informatics, data science, or a related field. Experience with electronic health record (EHR) systems, SQL, data visualization tools like Tableau or Power BI, and relevant certifications such as Certified Health Data Analyst (CHDA) are also valuable. Strong problem-solving, attention to detail, and effective communication skills enable analysts to interpret data accurately and collaborate with clinical teams. These competencies are essential for transforming complex healthcare data into actionable insights that improve patient outcomes and operational efficiency.
What cities near Duarte, CA are hiring for Clinical Informatics Data Analyst jobs? Cities near Duarte, CA with the most Clinical Informatics Data Analyst job openings:

Full-time

Re-posted 9 days ago


Job description

ETL Consultant
Downey CA (Remote)
Duration: 12 months
Skills Required
The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data - infographics and other data display techniques, and report design options; data interpretation and validation; Ad Hoc analysis/performance evaluation principles; common demographic data bases; SQL coding and report services; data warehouse design; web-based application design; PC skills (e.g. Microsoft Office, Word, Excel, PowerPoint, SAS, Access and Excel); working independently as well as a leadership role in creating process documentation and interfacing with other team members to obtain this information; detailed-oriented; excellent interpersonal, oral and written communication skills; ability to handle multiple tasks; and problem solving and troubleshooting skills.
Skills Preferred
1. Understand the architecture, data warehousing concepts, and components like SQL Pools, Apache Spark pools, and Data Flow.
2. Strong knowledge of SQL for data extraction, transformation, and loading (ETL) tasks, including complex querying, stored procedures, views, and indexing.
3. Proficiency in designing and implementing efficient data models for data warehousing, including dimensional modeling techniques such as star and snowflake schemas.
4. Familiarity with programming languages like Python or Scala for data processing, analytics, and automation tasks in Azure Synapse Analytics.
5. Understanding of various data integration methods, including data ingestion from different sources, data replication, and data synchronization techniques.
6. Ability to optimize query performance and data processing in Azure Synapse Analytics through techniques like partitioning, indexing, and query optimization.
Experience Required
This classification must have a minimum of two (2) years of experience in processing, management, and retrieval of information.
Experience Preferred
1. Having 2 to 4 years experience in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
2. Having 2 to 4 years experience in designing and developing data warehouses using other platforms like Microsoft SQL Server, Oracle, or Teradata can be valuable in understanding data warehousing concepts and best practices
3. Having 2 to 4 years experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka can be beneficial, as they integrate with Azure Synapse Analytics and enable large-scale data processing and analytics.
4. Having 2 to 4 years of experience in data visualization tools like Power BI or Tableau to create insightful visualizations and reports based on data stored in Synapse Data Warehouse.
5. Having 2 to 4 years experience in data cleansing, data profiling, and data validation techniques to ensure high data integrity in the data warehouse.
Education Required
This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.
Education Preferred
A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field is typically required.
Regards
Sunil Damagalla
West Advanced Technologies, Inc
E: sunil.d@wati.com D: 279-666-5837