Data Analyst, iQueue for Infusion Centers - Santa Clara

Help build technology that saves lives!

LeanTaaS is a fast growing healthcare predictive analytics company that uses sophisticated math and lean principles to make healthcare providers more efficient.

  • Our technology helps millions of people wait less at hospitals and specialty clinics across the country.
  • Our customers include some of the nation’s largest hospitals including Stanford, NewYork-Presbyterian, the University of Texas MD Anderson Cancer Center, and more.
  • Our team includes veteran executives and the brightest minds from Google, McKinsey, Stanford, MIT, Duke, Berkeley, UIUC, and more.
  • We are a Series C company backed by multiple prominent investors in the healthcare space.


Responsibilities:
  • Communicate technical requirements to customers and ensure that customer IT and process teams clearly understand the data, setup, and transfer needs, with occasional on-site visits as needed
  • Monitor data quality and troubleshoot data issues reported from customers and internal team - and automate as much of this as possible
  • Project manage the data setup: Acquire data from different data sources including customer databases, csv/excel files, and HL7 feeds
  • Gather and maintain standardized data requirements across EHR systems
  • Identify opportunities to standardize and scale the data gathering process and work closely with product managers, product implementation managers, and engineers to execute
  • Work closely with the product and customer team to understand their business pain points and support on analytical needs
  • Work with implementation and product teams to develop analytics for uncovering inconsistencies and unexpected patterns in the data and help problem-solve data collection issues related to the customer’s operational workflow


Qualifications:

Must have:
  • B.S. or M.S. in Statistics, Computer Science, Math, Engineering, or similar quantitative field (or equivalent work experience)
  • 1+ years of experience working with data in an environment with regular communication with outside stakeholders
  • Strong knowledge & experience working with relational databases (SQL, Postgres, etc) and at least one scripting language (Python, R)
  • Strong written and verbal communication skills
  • Experience in validating & auditing data, with strong attention to detail & accuracy
  • Experience working on ETL/ELT
  • Proficiency & experience with BI tools (Tableau, Excel)


Nice to have: 
  • Experience working with EHRs
  • Passion for healthcare



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