Sr. Data Analyst, Operational Intelligence

At Quickbase, we help organizations build better ways to run their operations. Our products give teams the flexibility to create applications around how their work actually happens, connecting people, information, and processes so they can keep work moving as needs change. For more than 25 years, organizations have turned to Quickbase to solve operational challenges that off-the-shelf software wasn't built for. Today, we’re building on that foundation with new products and new possibilities for how people create, adapt, and improve the systems their work depends on. Working at Quickbase means helping find better ways forward. We’re a team of curious, collaborative people who care about solving problems, learning as we go, and building things that make work better for our customers and each other. Senior Data Analyst, Operational Intelligence Location: Bangalore, India (Hybrid) Team: Operational Intelligence, Data & Analytics Business Unit Focus: AWE (Agentic Work Evolution), with an emphasis on Pave Company: Quickbase   Overview Quickbase is seeking a Senior Data Analyst, Operational Intelligence to own analytics for our product-led growth motion and the Sales organization that supports it, with a primary focus on Pave, our AI-native app builder. This role sits on our centralized Operational Intelligence team and operates as the senior analytics owner for a defined domain. You will not be handed a backlog of report requests. You will be expected to understand where the PLG motion is working and where it is not, decide what needs to be measured, build the models and reporting that answer it, and drive the definitions to consensus across Sales, Revenue Operations, Product, and Data Engineering. Pave goes to market as a product-led motion with a light sales assist. Trialers self-serve into the product, and our Growth Advisors engage only on product-qualified signals. That means the quality of our product qualified lead logic, our activation measurement, and our conversion analytics directly determines where a small sales team spends its time. The person in this seat has an outsized influence on that. The ideal candidate is an expert SQL and data modeling practitioner who is equally comfortable being handed an ambiguous business problem and a blank page. You bring strong judgment about what is worth measuring, the communication skills to defend a definition in a room of stakeholders who disagree, and the instinct to raise the quality bar for everyone around you. Scope and Level This is a senior individual contributor role. It carries ownership, not just execution. You own the analytics roadmap for the PLG and Sales domain, including deciding what gets built, what gets deprecated, and what gets pushed back on. You are the person Sales and Revenue Operations leadership come to directly with an unstructured question, and you are trusted to scope it yourself. You set modeling and documentation standards for your domain and review…