Analytics Engineer

Why 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
Communicate insights clearly to both technical and non-technical stakeholders

Requirements:

4+ years of experience in product analytics, BI, data analytics, or analytics engineering
Strong SQL and data modeling skills
Experience with dbt or similar data transformation/modeling tools
Experience working with different types of business and product data
Experience with product analytics and BI tools, such as Mixpanel, Tableau, Power BI, or similar
Strong analytical and statistical judgment, including working with experiments and imperfect data
Strong ownership and communication skills, with the ability to turn data into clear, actionable recommendations

Nice to have

Experience with modern data platforms and cloud technologies, such as AWS, Athena, Spark, or similar
Experience with Python for analytics and data work
Experience with AI, voice, or conversational products
Experience in healthcare or home care