Senior Clinical Data Analyst

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.

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

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.

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.