Senior Clinical Data Analyst
New
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TendoHealthcare Analytics
Candidates may be located in any one of our hub locations. Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA.Full-TimeSenior
Salary$97,750 - $132,250
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLBusiness IntelligenceMicrosoft Power BIData analytics
Requirements
- 5+ years of experience working in clinical data analytics in a healthcare setting.
- Bachelor’s degree in Computer or Data Science, Engineering, Business/Finance, or Health Sciences; or Master’s in Public Health, Data Science, Business Administration, or Statistics.
- Proficiency in SQL querying and data manipulation, including Stored Procedures and query optimization (Microsoft preferred).
- Use and configuration of business intelligence tools (PowerBI, Business Objects: Crystal Reports, Universe, and Web intelligence tool preferred).
- Electronic Health Record (EHR) Analytics expertise (Epic Clarity and Caboodle highly desired).
- Deep knowledge of clinical documentation in EHR and ability to extract data based on workflow description.
- Proven excellence in working simultaneously with multiple clients and on multiple projects.
- Ability to work independently and in a team setting.
- Excellent communication skills.
Responsibilities
- Gather requirements, conduct data sourcing, cleaning, and quality assurance of data output.
- Build, automate, and maintain data extracts, reports, dashboards, and self-service products.
- Collaborate with Data Scientists in exploring operational improvement opportunities and creation of predictive models and applications.
- Act as a single point of contact and support the needs of the Operations Teams of Tendo’s customers.
- Translate inpatient clinical documentation into defined, reproducible measures.
- Validate metric logic against frontline workflow, working with nursing, service line, and informatics stakeholders.
- Contribute to shared standards for SQL, version control, and report development.
- Monitor production reports and pipelines for data quality issues and lead remediation.
- Support performance improvement work such as length of stay, throughput, and care variation.
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