Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
4 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.
Preferred qualifications:
Experience developing and maintaining complex SQL queries to extract and analyze financial data from various sources.
Experience with automated data pipelines for efficient data retrieval and financial reporting processes using SQL, Python, or other programming languages.
Experience designing and implementing data models and ETL processes to support financial reporting and analysis.
Experience with interactive financial dashboards and visualization tools to effectively communicate findings.
Ability to collaborate with the FP&A team to provide data-driven insights for decision-making.