Recruit Monitor
Senior Data Analyst, Finance and Credit (Remote)
Recruit Monitor, Dallas, Texas, United States, 75215
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.
Position Location -
This role is available in the following locations: San Mateo
Time Zone Requirements -
This team operates on the West Coast time zones.
Travel Requirements -
This team has regular on-site collaboration sessions. These occur 4-5 days per Month at the San Mateo office. If you need to travel to make these meetups, Paychex will cover all travel related expenses.
How youll make an impact:
Own end-to-end initiatives supporting the modeling, automation, and analytics in financial dashboards, fair value accounting and forecasting. These initiatives drove more accurate, more efficient, and more scalable financial close cycles and insight-driven business decisionsDrive discussions on methodology enhancements, and data model development, and recommend solutions to new data and credit product changes, while improving accuracy of product metrics. This includes valuation methodology, data modeling, and architecture discussions, while influencing product roadmap. Work closely with engineering teams to ensure quick turnaround on fixesPartner with Accounting, Audit, Product, and Engineering teams to support monthly financial reporting and deliver an accurate, consistent, and efficient data reporting processCreate reports and dashboards in BI tools such as Looker. Monitor trends in relevant metrics and report on key insights on a daily basisWork with various big data platforms (such as AWS, Redshift, BDT, etc..), data service providers and internal engineering teams to explore APIs, ingestions of new datasets/sources, and evaluation of business impactsWhat were looking for:
Minimum requirements:
BS/MS Degree in Business Analytics, Financial Engineering, Finance, Economics, Engineering or other highly quantitative/analytical field3+ years of professional experience in SQL querying, and BI/reporting development with large and complex data set (Looker, Tableau, or Power BI)2+ years of experience in financial analytics or quantitative modeling driving business decisionsExperience in 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 SheetsStrong communication with client-facing and executive level data presentation skillsExperienced in project management & documentation, and using tools such as Jira and ConfluenceExperience in cash flow valuation modeling of consumer lending products or asset backed securities, with ability to develop and manage financial models independentlyKnowledge of statistical methods and machine learning algorithmsPrevious consumer marketplace lending industry experience with focus on capital markets, finance, accounting, or product
What youll love:
Competitive Compensation (base + bonus & equity)Comprehensive medical, dental, and vision coveragePersonal Development and Technology & Ergonomic BudgetsLife insurance and disability benefitsClubs and Activities (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams)Generous vacation policy401(k) and Employee Stock Purchase Plan (ESPP)Catered lunches + snacks & drinks
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.
Position Location -
This role is available in the following locations: San Mateo
Time Zone Requirements -
This team operates on the West Coast time zones.
Travel Requirements -
This team has regular on-site collaboration sessions. These occur 4-5 days per Month at the San Mateo office. If you need to travel to make these meetups, Paychex will cover all travel related expenses.
How youll make an impact:
Own end-to-end initiatives supporting the modeling, automation, and analytics in financial dashboards, fair value accounting and forecasting. These initiatives drove more accurate, more efficient, and more scalable financial close cycles and insight-driven business decisionsDrive discussions on methodology enhancements, and data model development, and recommend solutions to new data and credit product changes, while improving accuracy of product metrics. This includes valuation methodology, data modeling, and architecture discussions, while influencing product roadmap. Work closely with engineering teams to ensure quick turnaround on fixesPartner with Accounting, Audit, Product, and Engineering teams to support monthly financial reporting and deliver an accurate, consistent, and efficient data reporting processCreate reports and dashboards in BI tools such as Looker. Monitor trends in relevant metrics and report on key insights on a daily basisWork with various big data platforms (such as AWS, Redshift, BDT, etc..), data service providers and internal engineering teams to explore APIs, ingestions of new datasets/sources, and evaluation of business impactsWhat were looking for:
Minimum requirements:
BS/MS Degree in Business Analytics, Financial Engineering, Finance, Economics, Engineering or other highly quantitative/analytical field3+ years of professional experience in SQL querying, and BI/reporting development with large and complex data set (Looker, Tableau, or Power BI)2+ years of experience in financial analytics or quantitative modeling driving business decisionsExperience in 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 SheetsStrong communication with client-facing and executive level data presentation skillsExperienced in project management & documentation, and using tools such as Jira and ConfluenceExperience in cash flow valuation modeling of consumer lending products or asset backed securities, with ability to develop and manage financial models independentlyKnowledge of statistical methods and machine learning algorithmsPrevious consumer marketplace lending industry experience with focus on capital markets, finance, accounting, or product
What youll love:
Competitive Compensation (base + bonus & equity)Comprehensive medical, dental, and vision coveragePersonal Development and Technology & Ergonomic BudgetsLife insurance and disability benefitsClubs and Activities (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams)Generous vacation policy401(k) and Employee Stock Purchase Plan (ESPP)Catered lunches + snacks & drinks