Senior Clinical Data Analyst (Healthcare Analytics)

Tendo; Chicago (IL); Hybrid; USD 98,000 - 132,000; Full time

Benefits offered by this job

Health benefits

Equity package

Annual bonus

Flexible time off

Job summary

Tendo in the Greater Chicago area is seeking a Senior Clinical Data Analyst to drive operational improvements through analytics that support financial, quality, and care goals. You will translate inpatient documentation into reliable measures using flowsheets, templates, orders, notes, ADT, bed movements, results, and charges.

You will build data extracts, dashboards, and self-service reports, collaborating with data scientists and clinical leaders to ensure measures reflect bedside reality.

Qualifications

• 5+ years in clinical data analytics in healthcare.
• Bachelor's in Computer/Data Science, Engineering, Business/Finance, or Health Sciences.
• Master's in Public Health, Data Science, Business Administration, or Statistics.
• Strong BI and SQL skills; Epic Clarity/Caboodle desired.
• Knowledge of EHR data extraction and clinical workflow.

Responsibilities

• Gather requirements, data sourcing, cleaning, and QA of data output.
• Build, automate, and maintain data extracts, reports, dashboards, and self-service products.
• Collaborate with Data Scientists on models and applications.
• Act as a single point of contact for Operations Teams.
• Translate inpatient documentation into defined, reproducible measures.
• Validate metric logic with frontline workflow and stakeholders.
• Contribute to SQL/version control/reporting standards.
• Monitor production reports and data quality; lead root cause analyses.
• Support performance improvement initiatives such as LOS, throughput, and capacity.

Skills

PowerBI

SQL

EHR Analytics

Clinical Documentation

Independent Work

Communication

Project Management

Education

Bachelor's in Computer/Data Science/Engineering/Finance/Health Sciences

Master's in Public Health/Data Science/Business/Statistics

Tools

Git

JIRA

Confluence

Azure DevOps

S3/Glue/Athena

Epic Clarity Caboodle

Job description

As a Senior Clinical Data Analyst, you will identify operational improvement opportunities through analytics that help Tendo's customers meet or exceed their financial, quality, and operational goals. Success in this role depends on deep familiarity with inpatient workflows and how care is actually documented in the EHR, including flowsheet rows and templates, order sets and orderables, clinical notes, ADT and bed movement, results and charge capture, and the ability to translate that raw documentation into reliable measures and clear insight.

You will curate data sets from inpatient source tables, reconcile documentation practices that vary by unit and service line, and build and maintain data extracts, interactive reports, dashboards, and self-service products. You will work closely with the Tendo team and with the corporate and operational leaders at our customer organizations, including nursing leadership, service line directors, quality, and informatics, to make sure what gets measured reflects what happens at the bedside. You will also prepare materials for customer presentations and support ongoing customer engagement.

Your work will directly shape the success of our customers and our team.

We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.

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.

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.
• 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.

Nice to Have

• 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.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.