Staff Data Analyst, Upstart

• Degree in a quantitative field such as Economics, Mathematics, Engineering, or Data Science
• 8+ years of experience in analytical roles within technology, finance, or related industries
• Proficiency in Python/R, SQL, and spreadsheet tools (e.g., Excel, Google Sheets)
• Experience working with large datasets, unstructured data, and building data pipelines using tools like Databricks, DBT, Snowflake, Redshift, Looker, Tableau, or Mode
• Experience building forecasting models
• Strong analytical and problem-solving skills, with the ability to derive actionable insights and present them effectively

Desirable

• The Analytics team plays a key role in providing data-driven insights and solutions to support business initiatives and strategy
• We leverage our analytical and technical expertise to enable informed decision-making across various functions
• As a Staff Data Analyst, you will contribute to key areas such as driving operational efficiency, identifying areas of opportunity for improvement and helping us solve some of our most complex business problems and leading weekly business reviews with leaders
• This role involves conducting in-depth analyses, building predictive and forecasting models, building business intelligence pipelines, and collaborating with cross-functional teams to drive impactful outcomes
• Lead the development of analytical capabilities to support various business areas and drive efficiency improvements
• Build and deliver regular executive-level updates, incorporating data trends and actionable insights
• Partner with cross functional teams to provide data-driven recommendations
• Build forecasting models to determine business needs
• Develop data infrastructure, including pipelines and self-service reporting tools, to support decision-making