Senior Data Analyst

Senior Data Analyst role focused on profiling and investigating large, complex datasets at scale, working directly with clients to shape requirements and present findings. Responsibilities include exploring raw data in production, sizing impact and risk, differentiating genuine data issues from historical quirks, and collaborating with data engineers, data scientists, and stakeholders to build reliable data models and dashboards. The role is client-facing, often at the foundational end of the data lifecycle, with governance considerations around sensitive data and the ability to guide clients on extracting value from their data. Strong SQL, Spark, and Python skills, independent problem-solving, and excellent communication for senior client stakeholders are required, with a technology-agnostic approach and a willingness to learn and grow with the team.