Data analyst

This role is primarily focused on data governance, versus data engineering. The core objective is to ensure data accuracy, consistency, and usability across systems by owning and maintaining taxonomy standards, performing ongoing data quality assurance (QA), and documenting processes.

On a day-to-day basis, the primary responsibility is executing data QA, which includes identifying, flagging, and resolving a wide range of taxonomy-related issues such as naming inconsistencies, missing or incorrect values, and misaligned classifications. These efforts directly support downstream reporting.

In addition to daily QA, the role partners with internal stakeholders to evaluate and automate existing DNA processes, with the goal of reducing manual effort, improving efficiency, and minimizing the risk of human error. This includes assessing current workflows, proposing improvements, and supporting implementation where appropriate.

The role also owns several recurring opera...