Senior Clinical Data Analyst (Healthcare Analytics)

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 — flowsheet rows and templates, order sets and orderables, clinical notes, ADT and bed movements, results, and charges — into defined, reproducible measures.
• Validate metric logic against frontline workflow, working with nursing, service line, and informatics stakeholders to confirm that what the data shows matches what happens at the bedside.
• Contribute to shared standards for SQL, version control, and report development.
• Monitor production reports and pipelines for data quality issues, and lead root cause analysis and remediation when numbers shift unexpectedly.
• Support performance improvement work such as length of stay, throughput, and capacity, care variation, documentation compliance, and quality measure performance.

Requirements

• 5+ years of experience working in clinical data analytics in a healthcare setting.

Preferred

• Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, ServiceNow, Azure DevOps, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean).
• Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.).
• Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC.
• Experience with Delta Lake and/or Databricks.
• Experience using Apache Spark (PySpark or Scala).
• Experience working with programming languages (Python).
• Experience with machine learning workflows and data requirements for use with ML frameworks.

Job Location

Requested based city: Greater Chicago area

Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.

One of the following

• Bachelor’s in Computer or Data Science, Engineering, Business/Finance, or Health Sciences.
• Master’s in Public Health, Data Science, Business Administration, or Statistics.
• Relevant work experience and portfolio of projects.

Core Competencies

• Use and configuration of business intelligence tools (PowerBI, Business Objects: Crystal Reports, Universe, and Web intelligence tool preferred).
• Proficiency in SQL querying and data manipulation, including Stored Procedures and Query optimization (Microsoft preferred).
• Electronic Health Record (EHR) Analytics (Epic Clarity and Caboodle highly desired).
• Knowledge of Clinical Documentation in EHR and the ability to extract data based on workflow description.
• Must be able to work independently and in a team setting.
• Excellent communication skills.
• Proven excellence in working simultaneously with multiple clients and on multiple projects.

Base Salary Range

$97,750 - $132,250

This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.

Benefits

For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).

Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.