Offer summary

Qualifications:

Pursuing a Bachelor's degree in Industrial Engineering, Computer Science, Data Science, or related field with 2-3 semesters remaining., Experience working with data, BI tools, or product analytics projects., Proficiency in SQL and familiarity with data visualization tools like Tableau or Power BI., Strong analytical skills, attention to detail, and effective communication abilities..

Key responsibilities:

Support the design of dashboards, reports, and data models for various teams.

Monitor and analyze KPIs, user behavior, and product engagement to identify trends and anomalies.

Write SQL queries and collaborate on event tracking plans with the R&D team.

Assist in building and maintaining reporting tools to provide actionable insights.

Job description

Description

Join Our Mission at Sensi.AI

At Sensi.AI, we are dedicated to creating a world where every older adult receives the care they truly deserve. Guided by compassion and driven by innovation, we aim to redefine the future of caregiving. If you’re passionate about making a meaningful impact, join us in advancing Sensi.AI’s virtual assessment tool. This cutting-edge technology monitors seniors' health in their homes 24/7, delivering emergency alerts, actionable insights, and predictive analysis to enable proactive and effective care.

Here, you’ll discover exciting opportunities for professional growth, make a direct and meaningful impact on our products and company, and contribute to a mission that truly matters.

About The Role

Are you passionate about turning data into real-world impact? At Sensi, we’re looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you won’t just crunch numbers—you’ll unlock insights that shape how we build, deliver, and scale products that make a difference in people’s lives. You’ll be at the intersection of product, operations, and strategy—empowering teams across the company to make smarter, faster, and more impactful decisions.

Key responsibilities

Support BI efforts across teams: Help design accessible dashboards, reports, and data models to support the Product, Operations, and Customer Success teams.
Track and analyze performance: Collaborate with stakeholders to monitor KPIs, highlight anomalies, and identify trends in user behavior and product engagement.
Work with data hands-on: Write SQL queries, explore product data, and contribute to event tracking plans alongside the R&D team.
Build and improve reporting tools: Assist in building and maintaining intuitive dashboards that surface the right insights to the right people.
Drive a data-first mindset: Help advocate for data-driven thinking throughout the product lifecycle.

Requirements

Near-Graduate student: You’re currently pursuing a Bachelor’s degree in Industrial Engineering, Computer Science, Data Science, Information Systems, or a related field, with just 2–3 semesters remaining. You can dedicate at least 60% of your week (3–4 days) to dive into meaningful work and make an impact.
Data-Savvy Thinker: You’ve already spent some time working with data—whether that’s in BI, product analytics, or a data analyst projects. You know how to extract insights that matter. Experience working with product teams or tools like Mixpanel or Amplitude is a plus.
SQL Fluent: Strong familiarity with SQL and at least one BI or data visualization tool (e.g., Looker, Tableau, Power BI, or similar). Python is a bonus.
Analytical & Detail-Oriented: You bring a curious mind, and care deeply about getting the details right.
Communicator at Heart: You express ideas clearly and confidently, and you enjoy collaborating across disciplines to turn insights into action.
Self-Starter in Motion: You’re proactive, adaptable, and excited by the pace of change. You don’t wait to be told—you seek out ways to contribute and grow.

Required profile