Data & Analytics, Manager

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As the leader of our Data and Analytics team, you will guide a talented group of analysts and engineers in designing and scaling solutions that drive informed decision-making across the organization. You will set technical directions for modern analytics practices: modernizing our platform through Microsoft Fabric, reducing technical debt, and establishing consistent reporting standards that scale with the needs of the business. While you will lead with strategic influence, you will also partner closely with Business Unit leaders, technical teams, and global partners to embed analytics into the organization's most important initiatives.You will balance direct contribution to BI and analytics development with the responsibilities of building and growing a high-performing team. You will mentor and develop talent, manage service requests alongside proactive modernization efforts, and translate complex business questions into technical solutions. Success in this role will require strong technical fundamentals, the ability to lead and develop people, and a forward-thinking approach to shaping the infrastructure, culture, and capabilities of analytics within Comfort Medical.Major Areas of AccountabilityTeam Leadership, Development & Stakeholder ManagementManage a team of Data Analysts and EngineersHire, develop, and mentor analytics talent toward emerging leadership rolesFoster a culture of analytics excellence and establish team standards for quality, documentation, and practicesBalance reactive service requests with longer-term strategic initiativesPartner with Business Unit leaders and technical teams to communicate strategy, gather requirements, and translate business needs into technical solutionsTechnical Leadership & Platform StrategyLead modernization of the analytics platform, including migration toward Microsoft Fabric-based data engineeringReduce technical debt and drive adoption of best practices for data modeling and pipeline developmentOwn the analytics technology stack roadmap in coordination with IT and Platform EnablementEstablish and maintain data security, compliance, and governance practices aligned with HIPAA and healthcare regulationsAnalytics Delivery & ExecutionDrive end-to-end analytics outcomes through both leadership and hands-on contribution, including designing scalable data models, building impactful dashboards, and developing analytical solutions for complex business problemsLead analytics workstreams for cross-functional projects, translating requirements into technical solutionsDesign and maintain enterprise data models, reports, and BI dashboardsProcess AutomationIdentify, develop, and maintain process automation solutions using Power Automate and Power Apps to improve team efficiency and support operational initiativesManage project scope, timelines, and feasibility for automation initiativesSome travel may be required, up to 20%Comfort Medical employees are required to conduct business to the highest ethical and professional standards; comply with applicable laws and regulations, the MedTech Code of Conduct, and company policies.Other job duties as assignedBasic QualificationsBachelor's degree in Computer Science, Information Technology, Statistics, Data Science, or related fieldMinimum 5+ years of experience in analytics, business intelligence, or data analysis rolesDemonstrated expertise with SQL and Power BIExperience in a regulated industry (healthcare, life sciences, financial services, etc.)Advanced SQL and Power BI expertise, including data modeling, visualization, and performance optimizationExperience architecting scalable analytics solutions within modern data platforms (e.g., Fabric, Lakehouse, cloud ecosystems)Proven leader of high-performing teams, with experience developing talent and managing distributed resourcesStrong project management skills; experience working in Agile environmentsStrong business partnership skills, translating complex needs into impactful analytics solutionsKnowledge of data governance, quality, and compliance (HIPAA / regulated environments)Ability to operate and balance workload across both strategic and op