Nao | Hiring | Data Scientist | BigDataKB.com | 1/11/2022

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Nao

Bangalore

Healthcare

Who We Are

Nao Medical aims on providing comprehensive medical care to our patients and our community with a
focus on respect, transparency, and compassion. With a vision to refocus healthcare from reactive to
proactive, Nao Medical aims to lead the industry through excellent care, simple & innovative
technology, and a holistically integrated app to reach patients across our physical locations. Our
software aims to be the complete solution integrating EMR functionality, customer appointment and
feedback, billing, labs, and many more features into a single application. Join us in our mission to
revolutionize healthcare.


Job brief

We are looking for an experienced Data Analyst to support the Nao Medical tech platform. As a Data
Analyst you’ll be working with and manipulating large data sets to extrapolate key insights that will help
us improve the services that we offer to our patients. You’ll also be building relationships and partnering
with cross-functional stakeholders, technical and non-technical, to put data-driven solutions into place.


Responsibilities

 Create and/or support scalable frameworks, standards and data best practices while
upholding integrity and privacy across our data ecosystem and lifecycle
 Document and implement data policies, standards, and procedures for both legacy and new
data environments
 Work with engineering teams to ensure complete data lineage is captured and managed for
our data of record
 Work closely with product owners to understand the metrics that drive the growth of
business, and partner with them to fill any gaps.
 Architect and develop end-to-end interactive analytics solutions
 Design and develop dashboards that tell a story


Requirements:

 Bachelor’s degree required, Master’s degree preferred
 2-5 years of relevant experience
 Technical curiosity as demonstrated in or outside of work
 Ability to communicate effectively with technical and non-technical individuals
 Proficiency in Python and with data analytics libraries like pandas
 Confidence working directly with databases and building complex yet efficient SQL queries
 Ability to solve problems creatively and effectively
 A clear communicator with a knack for making complex things simple

Apply Here

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