Sensi.AI
Sensi.AI
Sensi.AI денсаулық сақтау саласына арналған жасанды интеллект әзірлейді және үйде күтім көрсету агенттіктеріне тәулік бойы жұмыс істейтін Виртуалды күтім агенті арқылы қолдауын кеңейтуге көмектеседі. Оның аудиоаналитикасы қарт адамдардың физикалық, эмоциялық және когнитивтік қажеттіліктерін анықтауға, сондай-ақ агенттіктерге ықтимал мәселелерге жауап беруге, күтім көрсетушілерді оқытуды күшейтуге және күтім тәжірибесін жақсартуға көмектесетін тұжырымдар ұсынуға бағытталған. Компанияның технологиясы үйде қауіпсіз қартаюды қолдау және отбасыларға көбірек сенімділік беру үшін жеке көрсетілетін қызметтерді үздіксіз виртуалды бақылаумен толықтырады.

Analytics Engineer at Sensi.AI — Hybrid in Israel

Build dependable data models, metrics, pipelines, and dashboards for Sensi.AI’s AI-powered home-care platform. Deliver actionable analysis that guides product, business, and clinical decisions.

Сипаттама

  • Manage and enhance data models, pipelines, and analytics infrastructure
  • Establish and maintain essential product and business metrics
  • Work with Product and Engineering to improve instrumentation and data quality
  • Assess product performance, customer behavior, funnels, retention, and business trends
  • Analyze product updates and experiments using statistically rigorous methods
  • Create dashboards and analyses that support informed decision-making
  • Present insights effectively to both technical and non-technical audiences
  • Maintain the data and analytics foundation used by Product, Growth, Customer Success, R&D, and leadership teams

Талаптар

  • At least four years of experience in product analytics, business intelligence, data analytics, or analytics engineering
  • Advanced SQL proficiency and strong data modeling capabilities
  • Experience with dbt or a comparable data transformation and modeling tool
  • Experience analyzing varied business and product datasets
  • Familiarity with product analytics and BI platforms such as Mixpanel, Tableau, Power BI, or similar tools
  • Strong analytical and statistical judgment when evaluating experiments and incomplete data
  • Demonstrated ownership and communication skills, with the ability to turn analysis into clear, actionable recommendations
  • Familiarity with modern data platforms and cloud technologies such as AWS, Athena, or Spark is a plus
  • Python experience for analytics and data work is a plus
  • Experience with AI, voice, or conversational products is a plus
  • Healthcare or home-care experience is a plus

Артықшылықтар

  • Hybrid work arrangement
  • Full-time position

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