Source description
About the role
Partner closely with Finance team, Engineering and Business stakeholders to translate ambiguous questions into clear analytical deliverables.
Analyze data (primarily financial), generate insights, and set up dashboards that convey them clearly and intuitively to stakeholders.
Write production-grade SQL and Python to support analytics workflows and reusable analytical tooling.
Design, build, document and maintain scalable data models using dbt (or Paradime) to support finance and cross-functional reporting needs.
Automate data collection, cleaning, transformation, and deployment, ensuring data is reliably available for analysis.
Contribute to data quality, testing, documentation, and engineering standards across the analytics stack.
Mentor more junior team members on SQL, modeling best practices, and analytical rigor.
Partner with a talented group of Data Engineers, Analysts, and Scientists, contributing to and learning from their diverse experience and skills.
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