Senior Analyst, Revenue Analytics

About the role

The Senior Analyst, Revenue Analytics is an individual‑contributor role that improves revenue performance through data‑driven insights, forecasting, and scalable reporting. Working with Sales, Revenue Operations, Finance and other cross‑functional teams, the analyst analyzes complex data, identifies growth opportunities, and translates findings into actionable recommendations for senior stakeholders.

About the company

Bluevine is the largest small business banking platform in the U.S., offering modern financial solutions such as checking, lending, and payments to help entrepreneurs grow. Founded in 2013, it serves over 750,000 small businesses, employs 500+ people globally, and is backed by venture investors while focusing on giving small businesses the tools they need to succeed.

Requirements

• 4+ years experience in revenue analytics, business analytics, sales operations, consulting, finance, technology or related analytical role
• Strong proficiency in SQL and advanced Excel or Google Sheets, including analytical, statistical, or scenario modeling
• Experience with data visualization/BI tools; Tableau strongly preferred; Power BI, Looker or similar also valued
• Proven ability to analyze large complex datasets, identify trends and develop actionable business recommendations
• Experience building dashboards, recurring reports, forecasting models or performance‑management tools for stakeholders
• Strong problem‑solving skills; ability to structure ambiguous questions, gather information and deliver high‑quality results
• Excellent written and verbal communication; ability to present complex findings via narratives, presentations and dashboards
• Ability to collaborate effectively with senior leaders and cross‑functional partners while managing multiple high‑priority projects
• Comfort using generative AI and automation tools to increase efficiency; experience creating prompts or AI‑assisted analytical processes a plus
• Commitment to analytical accuracy, continuous learning and thriving in a fast‑paced dynamic environment
• Bachelor’s degree in business, economics, finance, statistics, mathematics, engineering or other quantitative field, or equivalent practical experience
• Preferred: experience in Revenue Operations, Sales Operations, fintech, financial services, SaaS or other data‑intensive environment