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How much do business intelligence analytics vp jobs pay per year?

As of Sep 11, 2026, the average yearly pay for business intelligence analytics vp in the United States is $114,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $142,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Business Intelligence Analytics Vp job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,260 per year, or $54.9 per hour.

VP of Credit & Business Intelligence (FL)

Miami, FL • On-site

One Park Financial
Finance and Insurance • 11 - 50 employees
Learn more about One Park Financialexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

About One Park Financial

One Park Financial, a leading provider of financing solutions for small and mid-sized businesses, has been consistently recognized as a top workplace for seven consecutive years, earning both the Best Place to Work and Sun Sentinel's Top Places to Work awards. As a fast-paced and innovative financial services company, we take immense pride in disrupting the industry and positively impacting the lives of business owners nationwide. At One Park Financial, excellence and results are celebrated, and your skills and passion will be recognized and rewarded, providing opportunities for both professional and personal growth.

About the VP of Credit & Business Intelligence

Reporting directly to the SVP of Credit & Analytics, the successful candidate will oversee the Credit Policy & Analytics function for small business financing and emerging embedded finance products. This pivotal role aims to empower small businesses by managing the risk appetite through advanced decisioning models, growth strategies, reporting, and analytics vital to the organization.

Requirements

Job Responsibilities

  • Own Credit Policy & Analytics across the organization – Credit Origination, Account Management, Portfolio monitoring, Collections and Loss/Growth Forecasting.
  • Lead development, validation and implementation of advanced AI/ML models and strategies to expand small business access to finance, taking intelligent risks.
  • Develop and maintain the key portfolio KPIs and inventory of periodic analysis to continuously identify risk and growth opportunities.
  • Support effective challenge of Business Operations through Data & Data Science based Business Intelligence rhythms.
  • Partner with Product, Engineering and Operations to productionize strategies in decision engines, while ensuring data quality, monitoring and controls.
  • Leverage Open Banking (Plaid), Credit (Commercial & Personal), Business Identity, Fraud and validation sources to evaluate improvements in our Credit strategy and merchant experience.
  • Identify areas to reshape user flows, reduce customer friction and optimize the credit funnel.
  • Manage Analytics infrastructure needs for proactive highlighting of issues that need to be addressed and prioritized in the organization.
  • Manage Executive discussions on Analytics prioritization for the most pressing business needs.
  • Coach, Mentor and Develop the Analytics team to turn into effective Credit & Business Intelligence champions and credit policy owners.

Job Requirements

  • 8-10 years of credit and/or analytics experience at Fintechs or Credit institutions, with 3+ years of direct merchant / SMB risk experience preferred.
  • Deep knowledge of underwriting using bank & cash-flow analysis, bureau & alternate data, bureaus etc. with a focus on unsecured credit risk.
  • 5+ years of leading teams (data science, analytics, risk policy) and scaling analytics functions at a growing organization.
  • Proven track record of implementing business intelligence-based optimization strategies (reporting & alerting) with P&L impact.
  • Fluency in SQL and Python or R; experience with BI tools (PowerBI/Tableau) and cloud data platforms (Snowflake/AWS/Databricks).
  • Outstanding leadership, communication, and interpersonal skills, with the innate ability to inspire and motivate a team.
  • Bachelors in a quantitative field; advanced MS/PhD qualifications are a plus.

Benefits

  • Dental Insurance
  • Health insurance
  • Vision insurance
  • Paid time off
  • 401k with Match
  • Company Paid ID Protection
  • Company Paid Life Insurance