About The Role: 

Paytient is looking for a Senior Analyst with a strong background in finance. In this highly technical role, you will work cross-functionally with Paytient’s analytics, finance, and data engineering teams to enhance operational efficiency and data integrity by improving our financial systems. Our ideal candidate has a strong technical background in Python/SQL/similar and prior experience in the financial services or credit industries, preferably in a startup environment.

This is an exciting opportunity to get in on the ground floor of our analytics and finance operations. Candidates with a stronger technical background will have the chance to learn more about the inner workings of a financial services company, and applicants with a stronger finance/business background will have the chance to hone their technical skills with mentorship from seasoned technology leaders.

Our “remote with roots” model allows us to work where we thrive and gather as needed, often in our home office in Columbia, Missouri. This role can be performed from anywhere in the continental U.S., with the exception of Montana.

What You'll Do: 

• Use technologies like Python, SQL, and Looker to build out automated tracking and reconciliation of money movement between our banking/lending partners and corporate/client accounts
• Collaborate with finance, engineering, and product teams to address discrepancies between our back-office financial systems and member-facing applications
• Promote automation, reporting, and generative AI to eliminate redundant and manual processes in our finance and analytics organizations
• Develop actionable dashboards in Looker reporting on financial and other business metrics
• Ensure metric definition consistency and stakeholder alignment
• Assist in the preparation of monthly and quarterly financial reporting for senior leadership and board members
• Work with Paytient’s banking and lending partners to track loan portfolio performance

What You'll Bring: 

• Bachelor’s degree in Finance, Accounting, Economics, Statistics, Computer Science, Information Science, or other quantitative field, or equivalent combination of education/experience
• 3 years of experience as a Business Analyst, Finance Analyst, and/or Analytics Engineer
• Expertise in Python and SQL - we use BigQuery as our data warehouse
• Familiarity with BI tooling like Looker, Tableau, or PowerBI - we use Looker
• Experience consuming data from any of the following platforms: Stripe, Galileo, Hubspot, Quickbooks, and Oracle NetSuite
• General knowledge of accounting, business operations, objectives, strategies, processes, and information flow
• Demonstrated ability to manage time and prioritize projects to meet deadlines
• Strong written and verbal communication skills to effectively relate data to coworkers
• Excellent critical thinking skills to help solve business problems and make decisions