Senior Clinical Data Analyst (Healthcare Analytics)

Tendo4 months ago
Chicago, IL, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

As a Senior Clinical Data Analyst, you will play a crucial role in identifying operational improvement opportunities through analytics to achieve or surpass financial, quality, and operational goals for Tendo’s customers. You will leverage your expertise in healthcare operations, workflow, and Electronic Health Record (EHR) reporting to synthesize data and provide insights that drive improvements. Your responsibilities include curating data sets, organizing information, and collaborating with both the Tendo team and the Corporate and Operational leaders of Tendo’s customers to develop and maintain data extracts, interactive reports, dashboards, and self-service products. In addition, you will prepare materials for customer presentations and facilitate ongoing customer engagement.

Location: Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA.
Salary: $97,750 - $132,250

Key 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 creating predictive models and applications.
  • Act as a single point of contact and support the needs of the Operations Teams of Tendo’s customers.

Required Qualifications

  • 5+ years of professional experience working in clinical data analytics in a healthcare setting.
  • 5+ years of professional experience working with Electronic Health Record (EHR) Analytics (Epic Clarity and Caboodle).
  • Bachelor’s in Computer or Data Science, Engineering, Business/Finance, or Health Sciences OR Master’s in Public Health, Data Science, Business Administration, or Statistics OR relevant work experience and portfolio of projects.
  • Experience in the use and configuration of business intelligence tools (e.g., PowerBI, Crystal Reports, Universe, Web Intelligence preferred).
  • Proficiency in SQL querying and data manipulation, including stored procedures and query optimization (Microsoft preferred).
  • Ability to work independently and in a team setting.
  • Knowledge of clinical documentation in EHR systems and the ability to extract data based on workflow description.
  • Excellent communication skills.
  • Proven excellence in managing multiple clients and projects simultaneously.

Preferred Qualifications

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

Benefits & Perks

  • Benefits: 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”).

Required Skills

Healthcare Analytics
PowerBI
Data Cleansing
SQL
Dashboard Development
Python
Epic Clarity
Clinical Data Analytics
Data Sourcing
EHR Analytics
Caboodle
Stored Procedures