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Job description
Senior Data Analyst, Finance and Credit (Remote)
Job Openings Senior Data Analyst, Finance and Credit (Remote)
About the job Senior Data Analyst, Finance and Credit (Remote)
The Data Analytics team plays the critical role of providing analytical support across Paychex's organization to enable data‑driven decision making. We leverage our analytical and technical skills to help our partners with a multitude of services, some of which include understanding our underwriting models and presenting on trends in our loan performance, analyzing market size opportunities, creating financial models, developing our business intelligence pipeline to enable self‑service reporting, and architecting/automating of work processes. As the Senior Data Analyst – Finance and Credit at Paychex, you will be a critical member to lead fair valuation and financial automation initiatives by building repeatable, scalable, and auditable analytics and data‑pipelines. Location – San Mateo
Time Zone – West Coast
Travel – 4–5 days per month at the San Mateo office; travel expenses covered.
How you'll make an impact
Own end‑to‑end initiatives supporting the modeling, automation, and analytics in financial dashboards, fair value accounting and forecasting, driving more accurate, efficient, and scalable financial close cycles and insight‑driven business decisions.
Drive discussions on methodology enhancements, data‑model development, and recommend solutions to new data and credit product changes, improving accuracy of product metrics.
Partner with Accounting, Audit, Product, and Engineering teams to support monthly financial reporting and deliver an accurate, consistent, and efficient data reporting process.
Create reports and dashboards in BI tools such as Looker; monitor trends in relevant metrics and report on key insights daily.
Work with various big data platforms (AWS, Redshift, BDT, etc.) and internal engineering teams to explore APIs, ingestion of new datasets/sources, and evaluate business impacts.
What we're looking for
BS/MS Degree in Business Analytics, Financial Engineering, Finance, Economics, Engineering or other highly quantitative/analytical field.
3+ years of professional experience in SQL querying and BI/reporting development with large and complex data sets (Looker, Tableau, or Power BI).
2+ years of experience in financial analytics or quantitative modeling driving business decisions.
Experience translating business requirements to Data Warehousing and ETL needs.
Preferred qualifications: 5+ years experience in data analytics tools such as Python or R and using tools like Excel and Google Sheets.
Strong communication with client‑facing and executive level data presentation skills.
Experienced in project management & documentation, and using tools such as Jira and Confluence.
Experience in cash flow valuation modeling of consumer lending products or asset‑backed securities, with ability to develop and manage financial models independently.
Knowledge of statistical methods and machine learning algorithms.
Previous consumer marketplace lending industry experience with focus on capital markets, finance, accounting, or product.
What you'll love
Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage
Personal Development and Technology & Ergonomic Budgets
Life insurance and disability benefits
Clubs and Activities (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams)
Generous vacation policy
401(k) and Employee Stock Purchase Plan (ESPP)
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.