Senior Clinical Data Analyst – Healthcare Analytics

Tendo

. Identify operational improvement opportunities through healthcare analytics .

Posted 9/15/2026full-timeRemote • California • United StatesSenior💰 $97,750 - $132,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in clinical data analytics within healthcare, focusing on operational improvement through data extraction, reporting, and quality assurance. Proficient in SQL, business intelligence tools, and EHR analytics, with strong communication skills for client engagement.

Highest-signal resume keywords

Clinical Data AnalyticsSQL Querying and Data ManipulationPowerBI and Business ObjectsElectronic Health Record (EHR) AnalyticsHealthcare Data Standards (HL7, FHIR, ICD, SNOMED, LOINC)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL QueryingData ManipulationData Quality AssuranceOperational ImprovementData ExtractionReportingPredictive ModelingMachine Learning WorkflowsData CleaningDocumentation Compliance

Soft Skills

Excellent CommunicationTeam CollaborationProject ManagementClient EngagementIndependent Work

Tools & Technologies

PowerBIBusiness ObjectsAWS Technology StackDelta LakeDatabricksApache SparkPySparkScalaContinuous IntegrationSource Control

Certifications & Qualifications

Bachelor’s in Computer or Data ScienceMaster’s in Public HealthMaster’s in Data ScienceMaster’s in Business AdministrationMaster’s in Statistics

Industry Keywords

Healthcare AnalyticsClinical DocumentationInpatient Source TablesQuality MeasuresLength of StayThroughputCapacityCare VariationDocumentation ComplianceMetric Logic Validation

Tech Stack

Tools & technologies

ApacheAWSPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Identify operational improvement opportunities through healthcare analytics
Curate datasets from inpatient source tables and reconcile documentation practices across units and service lines
Build, automate, and maintain data extracts, reports, dashboards, and self-service products
Gather requirements, conduct data sourcing, cleaning, and quality assurance of data outputs
Collaborate with Data Scientists on operational improvement opportunities and predictive models/applications
Serve as a point of contact supporting customer Operations teams
Translate inpatient clinical documentation into defined, reproducible measures
Validate metric logic against frontline workflows with nursing, service line, quality, 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 root-cause analysis and remediation
Support performance improvement work involving length of stay, throughput, capacity, care variation, documentation compliance, and quality measures
Prepare customer presentation materials and support ongoing customer engagement

Requirements

What you’ll need

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; or relevant work experience and portfolio of projects
Experience using and configuring business intelligence tools, including PowerBI and Business Objects
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 ability to extract data based on workflow description
Ability to work independently and in a team setting
Excellent communication skills
Proven excellence working simultaneously with multiple clients and projects
Experience with source control, issue trackers, continuous integration, code reviews, and agile development (nice to have)
Experience with AWS technology stack (nice to have)
Knowledge or experience with healthcare data standards such as HL7, FHIR, ICD, SNOMED, and LOINC (nice to have)
Experience with Delta Lake and/or Databricks (nice to have)
Experience using Apache Spark, PySpark, or Scala (nice to have)
Experience with Python (nice to have)
Experience with machine learning workflows and data requirements for ML frameworks (nice to have)

Benefits

Comp & perks

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
Employee wellness program (“Breathe”)
Annual bonuses