StaffDataAnalyst

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we’re enabling people to unlock real financial progress. Sound like a mission you can get behind? About the Role Mission Lane is seeking a Staff Data Analyst to drive our push toward best in class data usage via analytical engineering, business intelligence and data analysis. This role is critical in our mission to empower our customers through the development and delivery of advanced, enterprise-wide data solutions and products. You will act as a strategic consultant to cross-functional stakeholders, accelerate complex data initiatives to completion, and champion a robust, automated data architecture that scales to support our long term goals. Our core tech stack includes: Snowflake / dbt / Tableau / Monte Carlo / Airflow / Github The impact you will make: Architect and maintain high-fidelity, scalable data models that serve as the foundational truth for both enterprise business intelligence and GenAI applications. Partner with data engineering, product and business partner teams to define, design, analyze, and report on key drivers that impact performance across the organization. Identify and communicate the business relevance of data from across the organization, leveraging analytical rigor to establish reliable sources of truth and ensure that business context is accurately captured across all data products. Partner with the larger Data organization to design easy-to-use, end-to-end enterprise data systems that keep Mission Lane at the forefront of data -based decision-making. Own the development of self-serve analytics and strategic data products that look beyond the immediate stakeholder requests to proactively reduce manual effort, mitigate technical debt, and accelerate speed to insight. Define and champion technical standards for