Lead Analytics Engineer at IntusCare

, , United States -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

150000.0

Posted On

20 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Business Intelligence, SQL, Python, Population Health, Healthcare Finance, Data Visualization, Analytical Skills, Problem-Solving, Team Collaboration, Communication Skills, Dashboard Development, Performance Metrics, Technical Troubleshooting, Process Improvement, Documentation

Industry

Hospitals and Health Care

Description

About IntusCare IntusCare is a healthcare analytics platform that synthesizes healthcare data to identify risks, visualize trends, and optimize care for PACE programs. IntusCare empowers care providers to mitigate high risk events and equips executives with the tools to make informed decisions based on comprehensive clinical and operational data. Our mission is to catalyze data-driven change to achieve high-value, multi-disciplinary care for older adults. In addition, IntusCare offers a broad range of technical assistance and consulting services to support PACE programs under development and existing programs that are growing and evolving to meet the needs of their communities. Role Overview We are seeking a dynamic Business Intelligence Developer to assist Intus’ client delivery and product operation teams with data analysis, process improvement, troubleshooting technical issues, and supporting decision-making through insightful reporting. This position is ideal for someone who is analytical, detail-oriented, and eager to learn in a fast-paced environment. Key Responsibilities Provide analytical support to Intus’ client delivery, utilization management and population health teams Build customer facing analytics apps and dashboards in Sigma Computing Develop reusable semantic models, metrics and user-defined functions to support Analytics and Data Engineering teams Develop and maintain dashboards and performance metrics to track key population health KPIs Develop and implement analytical development and release processes Work closely with Data Engineering to maintain a scalable testing and data quality monitoring process Document standard operating procedures (SOPs) and best practices Assist in ad hoc projects and analyses as required Qualifications Bachelor's degree in Business, Economics, Engineering, Computer Science, Math or related field 5-10 years of experience in data analysis and/or business intelligence 5 years of experience in population health or healthcare finance Strong analytical and problem-solving skills with attention to detail Strong understanding of SQL or Python for data manipulation High proficiency with BI and data visualization tools such as Sigma Computing, Looker, Mode, Tableau, Qlik Strong analytical and problem-solving skills with attention to detail Ability to work collaboratively in a team-oriented environment Strong communication skills and the ability to present findings clearly What We Offer Competitive salary and benefits package Opportunity to work with a passionate and innovative team Professional development and growth opportunities Flexible work environment Compensation: The salary range for this role is $135K–$150K. We expect the ideal candidate to fall near the midpoint of this range, though final compensation will be determined based on experience, skills, and organizational needs. Work location: This is a fully remote role based in the United States. Sponsorship: This position is not eligible for sponsorship.

Responsibilities

Provide analytical support to various teams and build customer-facing analytics apps and dashboards. Develop and maintain dashboards and performance metrics to track key population health KPIs.