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About the role
- 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.
- 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.
- Support data quality and normalization initiatives.
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).
Benefits
- Health insurance
- Professional development
- Paid time off
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLAI toolsdata manipulationautomation scriptsCloud Data WarehousesETLELTBI toolsdata quality
Soft Skills
analytical skillsresearch skillsproblem-solvingcollaborationcommunication
Certifications
Bachelor’s degree in MathematicsBachelor’s degree in StatisticsBachelor’s degree in EngineeringBachelor’s degree in Computer Science