Lead Analytics Engineer

About IntusCare

IntusCare is the only end-to-end ecosystem built specifically to help Programs of All-Inclusive Care for the Elderly (PACE) programs deliver exceptional care, strengthen financial performance, and stay compliant. IntusCare replaces outdated technology and manual workarounds with purpose-built solutions for care coordination, risk adjustment, population health, and utilization management. IntusCare empowers teams to take control of their operations and improve outcomes for dual-eligible seniors – some of the most socially vulnerable and clinically complex individuals in the U.S. healthcare system

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.