·Degree in a quantitative discipline (e.g., Computer Science, Engineering, Mathematics, Economics, Statistics, or similar) from a top-tier institution

·5 years hands-on analytics work experience

·Ability to structure, analyze, and contextualize vast, unstructured or incomplete data in context of business problems and to drive business impact

·Ability to synthesize and communicate clear and actionable insights from complex analyses to business stakeholders and senior management

·Strong verbal and written communication skills

·Strong data presentation skills

·Mindset to scale and automate analytical processes

·Experience with data visualization tools (e.g., Tableau), plotting libraries (e.g., plotly, matplotlib, seaborn), and MS Excel

·Demonstrated strength in SQL scripting and programming in Python and/or R

· Experience with building data products by integrating datasets from complex data environments

·Basic knowledge of finance and accounting related topics nice to have