Product Data Analyst
Compensation: $89,960.00 - $149,340.00 /year *
Employment Type: Full-Time
Industry: Information Technology
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Please note that all Qventus recruiting is conducted by Qventus employees, using Qventus email addresses. If you receive communications from someone purporting to represent Qventus, please contact ...@qventus.com.The CompanyQventus is a real-time decision-making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients.We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.Qventus works with leading public, academic and community hospitals across the United States. The company was recognized by the 2016 Fierce Innovations Awards in Healthcare, by Healthcare Informatics as a 2017 Innovator Award winner, by Black Book Research in 2019 as the #1 provider of Patient Identification, Tracking & Flow Solutions, and by the UCSF Digital Health Awards as the 2019 best product in EHR Data Interoperability.The RoleWe re looking for a product data analyst to join our product team. You will use your background in analytics, statistics, and/or business intelligence to build sophisticated analytics products for both our clients and internal teams. You ll work closely with our product, design & engineering teams to build tools that illuminate both the operational opportunities in our client hospitals as well as the entire impact chain of our product, from performance of our algorithms, through nudges and recommendations made to hospital staff, to the actions they take and the operational impact they have.This is a high impact role that will drive innovation in our product, magnify the value of our entire solution suite, and shape our position in the market.LocationThis role can be remote or based in our Mountain View, CA office. If remote, some travel will be expected.Key Responsibilities Deeply understand the business problems of our end users (both internal and external) and build analytics tool to address themManage and curate core analytics products across all of our our clientsFacilitate our product, design, and engineering teams laser focus on outcomesExplore our data to find leverage points and opportunitiesBuild and tell robust analytics storiesQualifications2-5 years experience in product analytics, business intelligence, and/or building analytics tools Proficiency in SQL, github, and dashboarding/visualization toolsComfort with PythonDegree in statistics, economics, or other quantitative field a plusAbility to construct analyses and visualizations that resonate with a variety of audiencesA love for the big picture and a healthy obsession with the detailsDeep curiosity and a passion for real-world impactWhy You Will Love it Here:Medical, dental, and vision coverage for full-time employees.Open vacation time (and people actually use it!)401KGym membership reimbursement.Fun company and team outings and trips because we play just as hard as we work!Education reimbursement.Employee referral bonuses to encourage the addition of great new people to the team.Qventus is an equal opportunity employer. All qualified applicants will receive 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.Please note that all Qventus recruiting is conducted by Qventus employees, using Qventus email addresses. If you receive communications from someone purporting to represent Qventus, please contact ...@qventus.com.Mountain View or RemoteProductFull-time
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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