We are looking for a Product & BI Analyst.
Are you passionate about turning data into real-world impact? At Sensi, were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbersyoull unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategyempowering teams across the company to make smarter, faster, and more impactful decisions.
Key responsibilities:
Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.
Requirements: A proficient analyst: 3+ years of experience in a BI/Data/Product Analyst or similar role, preferably in a SaaS environment, working closely with product teams to define, track, and analyze KPIs.
BI Technologist: Expert in BI tools (e.g., Tableau, Looker, Mixpanel, Power BI) and SQL (Python - advantage), with a strong ability to build clear, actionable reports and dashboards.
Excellent communicator and collaborator, able to work with cross-functional teamsincluding senior leadershipand translate data into clear, business-relevant insights.
Proactive and adaptable, with a self-starter mindset and ability to thrive in fast-paced, evolving environments; comfortable juggling multiple data sources and requests.
Hands-on ownership mindset, able to define data needs, shape the instrumentation process with R&D, and deliver complete, coherent, and user-friendly data products.
This position is open to all candidates.