Senior Data Analyst

Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to the vision and development of our next generation of analytic data tools for internal and external customers. In this role, you will work closely with business partners to understand their data needs, gather requirements, identify reporting solutions, and collaborate with data engineering teams to prioritize and deliver insights rather than just reports. You will rely on your skills as an excellent communicator to collaborate with stakeholders across Product, Engineering, Sales, Operations, and Growth, while using your strong technical skills to interface with Senior and Staff engineers to ensure product compatibility with Data Analytics best practices. Additionally, you will utilize your problem-solving abilities to troubleshoot performance issues, guarantee all analytics meet SLAs, and evangelize Data Analytics and Data Engineering best practices to help build a best-in-class Data Warehouse platform. What you'll do Serve as the primary data partner for key business teams, helping them define their analytics roadmaps and prioritize projects that drive business value Develop data visualizations, dashboards, and reports using Tableau to provide teams with actionable insights Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features Translate complex data findings into clear, compelling stories for both technical and non-technical audiences Contribute to the evolution of the data warehouse by collaborating with Data Engineering teams Build and maintain the Data Catalog or Data Dictionary to support data discovery and ensure data governance Establish best practices and guidelines for data quality, privacy, and access control Identify opportunities to improve the analytics platform's performance and report usage Collaborate with engineering teams to define service level agreements (SLAs) for data products Mentor and guide junior members of the data team What we're looking for Bachelor's degree in a STEM field or equivalent 6+ years of experience in an Analytics or Business Intelligence role 4+ years of experience performing complex data analysis and demonstrating mastery with SQL 4+ years of experience developing visualizations and dashboards in Tableau or a similar BI tool 2+ years of experience using dbt and Snowflake Possess expertise in relational and dimensional database structures, principles, and best practices Demonstrate a proven ability to collaborate with Data Engineering teams to architect a data platform Exhibit experience working in Agile SCRUM teams Display strong project management and independent work skills Bring excitement to working in a fast-paced, dynamic startup environment Our Stack Languages + Frameworks: Java, JavaEE, SpringBoot, JavaScript, JQuery Datastores: MySQL Cloud: AWS Version Control: Git & Github 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers