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LeanTaaS · 2 months ago

Senior Data Analyst, iQueue for Operating Rooms

United States

Full-time

Remote

Senior Level

$95K/yr - $115K/yr

5+ years exp

LeanTaaS is a growth stage company that creates software solutions for healthcare operations using AI and predictive analytics. As a Senior Data Analyst for Operating Rooms, you will onboard new healthcare clients, develop analytical prototypes, and create actionable insights to optimize operating room utilization and enhance operational efficiency across partner health systems.

Health CareInformation TechnologyMachine LearningPredictive AnalyticsSoftware

No H1B

Responsibilities

Data onboarding for new and existing customer sites, working with hospital IT and clinical teams to upload historical Operating Rooms (OR) data and establish ongoing data connections to LeanTaaS’s platform

Acquire, validate, and maintain data from multiple hospital systems, ensuring clean and reliable inputs for iQueue for Operating Rooms

Investigate and resolve issues in data ingestion and processing to keep analytics accurate and up to date

Collaborate with the product team to build and refine analytical prototypes that inform future product features and insights

Partner with product and customer teams to define data requirements, success metrics, and KPIs that reflect hospital operational goals

Build Tableau dashboards that surface key OR metrics and support decision-making

Work closely with internal teams and hospital stakeholders to uncover opportunities and deliver actionable analytics

Coach and be a resource for other team members, sharing best practices for data quality, onboarding, and analytics

Qualification

Data analytics toolsTableauPythonSQLData integrityCommunication skillsAttention to detailOrganizational skillsCollaboration

Required

Minimum 5 years of experience as a Data Analyst, Business Analyst, or in a related analytical role

Bachelor's degree in Mathematics, Statistics, Data Science, or a related field — or equivalent professional experience

Strong hands-on experience with data analytics tools and databases (e.g., Excel, SQL, Postgres)

Significant experience with Tableau and proven ability to build clear, actionable data visualizations and dashboards

Experience using Python for data analysis and automation

Familiarity with Large Language Models (LLMs) and AI applications in analytics

Proven ability to collect, organize, analyze, and interpret complex datasets to generate hypotheses and validate insights

Experience investigating data integrity and accuracy, collaborating closely with cross-functional teams to resolve issues

Background working with Product Managers or in a product-oriented environment, using analytics to inform product strategy and drive measurable outcomes

Strong attention to detail and accuracy, with excellent organizational and communication skills

Proficiency in writing queries, building reports, and presenting clear, actionable findings to stakeholders