Lead Analytics Engineer

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October 20

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Intus Care

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Healthcare Insurance • SaaS • Artificial Intelligence

Intus Care is a healthcare analytics platform that synthesizes healthcare data to identify risks, visualize trends, and optimize care. The company empowers long-term care providers to deliver more effective care to older adults by predicting high-risk patients, reducing expenditures through early risk detection, and improving organizational performance using data-driven insights. Intus Care is particularly beneficial for PACE (Programs of All-Inclusive Care for the Elderly) organizations, providing tools that enable care providers and executives to make informed decisions and proactively manage patient care based on real-time analytics.

11 - 50 employees

⚕️ Healthcare Insurance

☁️ SaaS

🤖 Artificial Intelligence

💰 $13.1M Venture Round on 2023-01

📋 Description

• 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

🎯 Requirements

• 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 • Ability to work collaboratively in a team-oriented environment • Strong communication skills and the ability to present findings clearly.

🏖️ Benefits

• Competitive salary and benefits package • Opportunity to work with a passionate and innovative team • Professional development and growth opportunities • Flexible work environment