Senior Analytics Engineer, Client Engagement

Job description

About this Role This Senior Analytics Engineer for Client Deployments will be a pivotal technical player in our fast-growing startup. You will focus on new client engagements, prioritizing value creation within the critical first 3-6 months of communities going live. You will act as the technical bridge between our clients, Sage operations teams, and the data architecture that drives our insights. Because on-site context is vital to our success, you should expect up to 25% travel (typically 1-2 weeks at a time maximum) to work directly with clients and ensure seamless deployments. Key Responsibilities Client Engagement & Scoping: Partner closely with clients and Sage operations teams to scope and define technical requirements for new community deployments. Pipeline & Architecture: Build and maintain robust bi-directional data pipelines to ensure seamless, secure data flow between client systems and Sage’s infrastructure. Custom Analytics & Modeling: Develop custom analyses, data models, and reporting dashboards that drive immediate, measurable value for clients in their first 3-6 months post-launch. Minimum Qualifications 4–8 years of professional experience in analytics engineering, data engineering, or a closely related technical field. Proven track record of designing and building data pipelines, custom analyses, data models, and reporting systems. Strong client-facing communication skills with experience scoping complex technical requirements alongside both technical and non-technical stakeholders. Ability and willingness to travel up to 25% of the time (in 1-2 week increments). Preferred Qualifications Experience working in a fast-paced B2B startup environment or deploying software to external enterprise clients. Background working with healthcare, senior living, or health-tech data domains.