Analytics Engineer
Summary
Analytics Engineer at Sensi.AI (hybrid, Tel Aviv) who owns the path from raw data to insight: building data models and pipelines, defining core product/business metrics, analyzing product performance and experiments, and building dashboards for Product, Growth, CS, R&D and leadership. Core stack: SQL, Python, dbt, AWS data platforms, Mixpanel, Grafana, Hex.
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
- Analyze product and business performance: Track core KPIs, investigate trends and anomalies, and analyze product usage, feature adoption, customer behavior, funnels, and retention to identify opportunities for improvement.
- Turn data into actionable insights: Translate analytical findings into clear recommendations that help Product, Growth, Customer Success, and leadership make better decisions.
- Evaluate product initiatives: Measure the impact of new features, product changes, and experiments using appropriate analytical and statistical methods.
- Own analytical data models: Develop and maintain reliable, well-structured data models that support consistent metrics, self-service analytics, and trusted business reporting.
- Improve the analytics foundation: Contribute to the evolution of our analytics infrastructure, data quality, and tracking in collaboration with Engineering and other stakeholders.
- Build and communicate insights: Develop dashboards and targeted analyses, and present findings clearly to technical and non-technical stakeholders, connecting results to business impact.
Requirements
- 4+ years of experience in product analytics, business analytics, BI, data analytics, or a similar analytical role.
- Strong SQL skills and the ability to independently explore data, investigate complex questions, and derive meaningful insights.
- Experience analyzing product performance, customer behavior, business KPIs, funnels, retention, or other business-critical metrics.
- Experience with product analytics and BI tools, such as Mixpanel, Tableau, Power BI, or similar.
- Strong analytical and statistical judgment, including experience evaluating trends, interpreting experiments, and working with imperfect data.
- Strong business acumen, ownership, and communication skills, with the ability to translate analytical findings into clear, actionable recommendations.
Nice to have
- Hands-on experience with dbt or similar data transformation tools, including building and maintaining analytical data models - a significant advantage.
- Experience with modern data platforms and cloud technologies, such as AWS, Athena, Spark, or similar.
- Experience with Python for analytics and statistical analysis.
- Experience with AI-powered, voice, or conversational products, or in healthcare and home care.