Data Analyst

Description Turn inconsistent raw sources into one coherent model that answers who spent what, on which application, for which purpose. This role does the analysis that must happen before engineering can build: profiling what each source actually provides, mapping it to the canonical schema, and designing the transformations that produce the emergent data on which transparency, accountability and optimization depend. Key responsibilities • Profile raw data landed from assigned tool integrations…

Data drives every decision we make. As a member of our analytics team, you will help us unlock the value hidden in our data. You'll build models, create dashboards, and present findings that directly influence our strategic roadmap.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.