Qventus

Senior Data Analyst

Noida, India
Machine Learning SQL
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Description

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.

Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.

As a Senior Data Analyst you’ll work closely with our product, design, and engineering teams to illuminate both the operational opportunities in our client hospitals as well as the entire impact chain of our product, from the performance of our algorithms through nudges and recommendations made to hospital staff, to the actions they take and the operational impact they have.

The most important thing to the role will be your ability to balance speed with reliability. It will require you to:

  • Fluency with SQL and comfort working with complex interrelated datasets

  • Familiarity with EHR data and how hospital users interact with it

  • Design sense to make analytics as intuitive and usable as possible

  • Constant curiosity about the problems to be solved (not just the technical execution)

This is a high-impact role that will help drive innovation in our product, magnify the value of our entire solution suite, and shape our position in the market.

Key Responsibilities:

  • Support and scale our analytics products, including troubleshooting, supporting rollouts to new clients, designing visualizations, and developing new features

  • Support repeatable analyses that drive insights into whether our products are being used as intended and generating positive outcomes for our healthcare customers.

  • Deliver client-specific analytics to support our Delivery team and client satisfaction.

  • Contribute to the health of our analytics platform (e.g., deployments and documentation)

What We’re Looking For: 

  • 5+ years experience in analytics, data engineering, or business intelligence

  • Experience with electronic health record (EHR) data

  • Experience designing intuitive analytics tools for non-analyst users

  • Experience leveraging SQL to answer applied business analytics questions

  • Familiarity with data modeling

  • A love for the big picture and a healthy obsession with the details

  • Deep curiosity and a passion for real-world impact

It’s a Plus if You Have… 

  • Experience with DBT

  • Working, hands-on, knowledge of modern data warehouses (Snowflake preferred) 

  • Experience with Looker and comfort with LookML

  • Advanced degree in statistics, economics, or other quantitative field

We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable for using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. 

Candidate information will be treated in accordance with our candidate privacy notice, which can be found here: https://qventus.com/ccpa-privacy-notice/

As a hybrid team, we work from our NCR/Noida offices for at least three (3) days a week while also accommodating US-based timings that can extend to 12:30 a.m. IST.

Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

Qventus
Qventus
Analytics Artificial Intelligence (AI) Health Care Hospital Machine Learning

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