Staff Data Analyst

Upstart

Upstart is a pioneering AI lending marketplace that partners with banks and credit unions to increase access to affordable credit. They aim to provide a seamless digital-first lending experience. The company supports a remote work environment, with offices in key locations throughout the United States.

In this role you can expect to have the responsibilities:

• Develop analytical capabilities to enhance servicing methods and improve operational efficiency.
• Create executive presentations to convey findings and strategic insights.
• Design experiments and perform quantitative analyses to test hypotheses about user interactions.
• Collaborate with engineering teams to improve servicing data capabilities.
• Maintain business intelligence tools to aid reporting and decision making.
• Mentor junior team members while fostering a culture of expertise in data and analytics.

This role comes with the following benefits:

• Competitive compensation including bonus and equity.
• Medical, dental, and vision coverage with HSA contributions.
• 401(k) with company match and immediate vesting.
• Employee Stock Purchase Plan.
• Life and disability insurance.
• Generous leave policies.
• Annual wellness, technology, and ergonomic reimbursements.
• Social activities including team events and interest groups.

This role requires you to have:

• 8+ years in senior analytical roles in technology and finance.
• Proficient in SQL, Python, and/or R.
• Experience with large datasets, unstructured data, and data modeling.
• Degree in Economics, Statistics, Mathematics, Engineering, Data Science or related fields.

You would benefit from having:

• Experience with A/B testing in financial or operational contexts.
• Knowledge of consumer lending and post-origination servicing.
• Ability to influence decision-making within cross-functional teams.
• Experience in coaching and mentoring on technical subjects.

Upstart is an Equal Opportunity Employer committed to diversity and inclusion, ensuring better access to affordable credit for underrepresented groups.