Data Analyst
Ajah
PythonSQL
Senior Data Analyst, iQueue for Operating Rooms
LeanTaaS
full-time
Posted on:
Location Type: Remote
Location: Remote • Alaska, Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Illinois, Iowa, Kansas, Louisiana, Maine, Maryland, Massachusetts, Missouri, Montana, Nevada, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin • 🇺🇸 United States
Visit company websiteSalary
💰 $95,000 - $115,000 per year
Job Level
Senior
Tech Stack
PostgresPythonSQLTableau
About the role
- 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.
Requirements
- 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.
Benefits
- Competitive compensation package that includes base salary, target bonus, and stock options
- 401(k) Match
- Comprehensive healthcare benefits
- Generous Paid Time Off and Parental Leave
- Monthly reimbursement for Skill Building
- Monthly reimbursement for Wellness, Transportation, and/or Home Office
- Education Reimbursement for select courses/programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisdata validationdata ingestiondata processingdata visualizationdata qualitydata metricsdata requirementsdata interpretationdata automation
Soft skills
collaborationcoachingattention to detailorganizational skillscommunication skills
