Senior Analyst, Revenue Analytics

**This is a hybrid role. **At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline.

ABOUT THE ROLE:

Join us as a Senior Analyst, Revenue Analytics, where you will play a key role in improving revenue performance through data-driven insights, forecasting, and scalable reporting. You will partner closely with Sales, Revenue Operations, Business Operations, Finance, and other cross-functional teams to identify performance drivers, uncover growth opportunities, and support both near-term execution and long-term planning.

This is a hands-on individual contributor role for someone who is comfortable working with complex data, solving ambiguous business problems, and translating analysis into clear recommendations for senior stakeholders.

WHAT YOU'LL DO:

As a Senior Analyst on the Revenue Analytics team, you will:

• Improve Sales Productivity and Performance: Analyze sales performance across teams, business lines, customer segments, and channels to identify opportunities to improve productivity, conversion, and revenue outcomes.
• Own Revenue Analytics and Reporting: Develop and continuously improve dashboards, scorecards, and recurring reporting that help leaders understand performance, trends, risks, and opportunities.
• Develop Forecasting and Planning Models: Build forecasting and scenario models for new and repeat business, pipeline, sales productivity, and quota attainment to support proactive decision-making and performance management.
• Generate and Communicate Insights: Design and execute in-depth analyses to uncover the drivers of revenue performance and translate findings into clear, actionable recommendations.
• Evaluate Sales Team Effectiveness: Assess the effectiveness of sales teams, programs, and operational processes, and partner with stakeholders to recommend and measure improvements.
• Enhance Operational Metrics: Define, monitor, and improve key revenue and operational metrics while ensuring consistency in business logic, reporting definitions, and data quality.
• Automate and Scale Analytics: Identify opportunities to automate manual reporting, analysis, and recurring workflows using SQL, business intelligence tools, and generative AI platforms such as ChatGPT, Gemini/Google AI Studio, or similar tools, while following appropriate data privacy and security practices.
• Partner Across the Organization: Collaborate with Revenue Operations, Sales, Finance, Data, and Business Systems teams to solve business problems and improve the availability and reliability of revenue data.

WHAT WE LOOK FOR:

We are looking for a motivated, analytical, and impact-driven professional with:

• 4+ years of experience in revenue analytics, business analytics, sales operations, consulting, finance, technology, or a related analytical role.
• Strong proficiency in SQL and advanced Excel or Google Sheets, including analytical, statistical, or scenario modeling.
• Experience with data visualization and business intelligence tools, with Tableau strongly preferred; experience with Power BI, Looker, or similar platforms is also valued.
• A proven ability to analyze large and complex datasets, identify meaningful trends, and develop actionable business recommendations.
• Experience building dashboards, recurring reporting, forecasting models, or performance-management tools for business stakeholders.
• Strong problem-solving skills and the ability to structure ambiguous questions, gather relevant information, and deliver high-quality results.
• Excellent written and verbal communication skills, with the ability to present complex findings through clear narratives, presentations, and dashboards.
• The 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, improve analytical workflows, and reduce repetitive work. Experience creating prompts, lightweight automations, or AI-assisted analytical processes is a plus.
• A commitment to analytical accuracy, continuous learning, and operating effectively in a fast-paced and dynamic environment.

• A bachelor’s degree in business, economics, finance, statistics, mathematics, engineering, or another quantitative field, or equivalent practical experience.

  Experience in Revenue Operations, Sales Operations, fintech, financial services, SaaS, or another data-intensive environment is preferred.