About Intus CareIntusCare 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 OverviewWe are seeking a dynamic Data Analyst 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 analytical, detail-oriented, and eager to learn in a fast-paced environment.ResponsibilitiesProvide analytical support to Intus' client delivery, utilization management and risk consulting teamsBuild customer facing analytics apps and dashboards in Sigma ComputingBuild and apply statistical prediction models to improve quality of careDevelop reusable semantic models, metrics and user-defined functions to support Analytics and Data Engineering teamsDevelop and maintain dashboards and performance metrics to track key population health KPIsDocument standard operating procedures (SOPs) and best practicesAssist in ad hoc projects and analyses as requiredQualificationsBachelor's degree in Statistics, Economics, Computer Science, Math, or related field5 to 10 years of experience in data analysis5 years of experience in population health or healthcare financeStrong analytical and problem-solving skills with attention to detailStrong understanding of SQL or Python for data manipulationHigh proficiency with BI and data visualization tools such as Sigma Computing, Looker, Mode, Tableau, and QlikWorking knowledge of statistical and machine-learning models is a plusAbility to work collaboratively in a team-oriented environmentStrong communication skills and the ability to present findings clearlyWhat We OfferA chance to be a part of a trailblazing team in healthcare technology.Competitive salary and equity package.Comprehensive benefits including health, dental, and vision insurance.A collaborative, inclusive, and dynamic work environment.Opportunities for professional growth and developmentCompensationThe base salary range for this role is $120-$140k. 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. Final compensation will also include a variable component and stock options.Work location: This is a fully remote role based in the United States.Sponsorship: This position is not eligible for sponsorship.#J-18808-Ljbffr