Sensi.AI
Sensi.AI
Sensi.AI sog‘liqni saqlash sohasi uchun sun’iy intellekt ishlab chiqadi va uyda parvarishlash agentliklariga 24/7 ishlaydigan Virtual parvarish agenti orqali ko‘magini kengaytirishga yordam beradi. Uning audio tahlillari keksalarning jismoniy, hissiy va kognitiv ehtiyojlarini aniqlash, shuningdek, agentliklarga yuzaga kelishi mumkin bo‘lgan muammolarga javob berish, parvarish qiluvchilarni o‘qitishni kuchaytirish va parvarish tajribasini yaxshilashga yordam beradigan xulosalarni taqdim etish uchun ishlab chiqilgan. Kompaniyaning texnologiyasi uyda xavfsiz qarishni qo‘llab-quvvatlash va oilalarga ko‘proq xotirjamlik berish uchun bevosita xizmatlarni uzluksiz virtual monitoring bilan to‘ldiradi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • Hybrid work arrangement
  • Full-time position

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