Design, maintain, and automate key company dashboards, ensuring they provide actionable insights for the CEO and executive team.
Use AI tools and scripting (Python/SQL) to automate data delivery, reducing manual intervention to the bare minimum.
Conduct thorough research to identify trends, anomalies, and opportunities, using AI to complement statistical methods and speed up discovery.
Maintain and evolve our analytical layer (Snowflake/BigQuery), ensuring data is consistent, scalable, and optimized for both human and AI-tooling consumption.
Partner with the Data Engineering team to improve pipelines and documentation, applying AI to optimize code and technical debt.
Support data quality and normalization initiatives to ensure our "source of truth" remains reliable across all platforms.
Requirements
Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative field.
+3 years of experience as a Data Analyst, preferably in the Fintech or fast-paced tech industry.
Advanced proficiency in SQL and Python for data manipulation and building automation scripts.
Demonstrated experience using AI (LLMs, Copilots) to write more efficient code, debug faster, and document complex processes.
Solid knowledge of Cloud Data Warehouses and ETL/ELT logic (dbt is a plus).
High-level experience with BI tools (Tableau, Looker, or Power BI) and the ability to tell compelling stories through data.
You understand that behind every data point is a user, and you’re obsessed with improving their financial experience through better decisions.
You are an energized contributor who enjoys rolling up your sleeves to build automation flows and enabling others to do the same.
You thrive in fast-paced environments, prioritizing speed and continuous learning over over-engineering.
Excellent ability to translate complex technical findings into clear, strategic recommendations for stakeholders at all levels.
You hold yourself accountable for the accuracy of your data. You are organized, proactive, and see projects through from query to impact.
You live and breathe metrics, using data to drive constant improvement in everything you touch.