Sr Analytics Engineer

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 Analytics Engineer   Data & Analytics   About the Role   We are hiring a Senior Analytics Engineer to shape and strengthen the analytics foundation that drives company performance.   This is a senior individual contributor role with meaningful influence. You will define modeling standards, evolve our BI platform, formalize enterprise metrics, and ensure data is structured to support confident decision making across the organization.   Success in this role requires more than technical execution. You will be expected to operate independently, bring structure to ambiguity, challenge unclear assumptions, and translate complex business problems into durable data solutions.     Key Responsibilities   BI Platform Leadership   Lead administration and continuous improvement of the Power BI environment   Define governance, security, modeling, and deployment standards   Design reusable, scalable datasets that promote metric consistency across teams   Improve platform performance, reliability, and cost efficiency   Analytics Modeling and Architecture   Architect and implement dimensional models in Snowflake using dbt   Build durable analytics layers aligned to core revenue and operational domains   Ensure strong alignment between warehouse structures and reporting logic   Embed testing, documentation, and performance optimization into standard engineering practice   Enterprise Metric Governance   Define and formalize KPI logic with clear business definitions and ownership   Maintain consistency of metrics across tools, systems, and reporting surfaces   Resolve conflicting definitions through structured analysis and stakeholder alignment   Strengthen transparency and trust in enterprise data assets   AI-Enabled Analytics   Treat AI as a core capability in modern analytics, leveraging it to deliver high-quality solutions with greater speed and rigor   Design data models and governance patterns that enable the organization to safely and effectively leverage AI with trusted data   Integrate AI into analytics workflows to accelerate modeling, validation, documentation, and insight generation   Apply…