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המשרה המקורית · נשמר לעיוןWhy Join Sensi.AI Sensi is redefining how care organizations support aging at home by using it’s Care Intelligence platform to translate everyday signals into meaningful clinical and operational outcomes. Sensi’s platform is deployed across 50 states in leading home-care providers, supporting tens of thousands of seniors aging safely at home. By transforming real-world activity in the home into actionable insights, Sensi enables care teams to detect changes in condition earlier, intervene proactively, and deliver higher-quality care at scale. This is a hybrid role based in Tel- Aviv, Israel. About the role Sensi builds AI products for home care. We’re looking for a Analytics Engineer to own the data and analytics foundation that helps Product, Growth, Customer Success, R&D, and leadership make better decisions. You’ll own the path from raw data to actionable insight - building reliable models, defining key metrics, analyzing product and business performance, and communicating what the data actually tells us. What you'll do • Own and improve our data models, pipelines, and analytics infrastructure • Define and maintain core product and business metrics • Partner with Product and Engineering on instrumentation and data quality • Analyze product performance, customer behavior, funnels, retention, and business trends • Evaluate product changes and experiments and provide statistically sound conclusions • Build dashboards and analyses that help teams make better decisions • Proactively investigate anomalies and important business questions • Communicate insights clearly to both technical and non-technical stakeholders • Help shape and improve Sensi’s analytics practices as we grow
Requirements: • 4+ years of experience in product analytics, BI, data analytics, or analytics engineering • Strong SQL, data modeling, and Python skills, with hands-on dbt experience • Experience with modern data platforms, ideally AWS Glue, Athena, S3, Spark, and Iceberg • Experience with product analytics and BI tools such as Mixpanel (funnels, retention, cohorts, event tracking), Grafana, and Hex • Experience with data from systems such as Postgres and HubSpot, including CRM, sales, or lead-funnel data • Strong analytical and statistical judgment, including experimentation and working with imperfect or noisy data, comfortable in a fast-moving, ambiguous environment • Strong ownership and communication: partnering with Product and Engineering on instrumentation and data quality, taking a problem from definition through data, analysis, and recommendation, and making complex findings clear and actionable Nice to have • Experience with AI, voice, or conversational products • Experience in healthcare or home care
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