BI Analyst, Revenue Analytics- Moneylion

Gen is a fast-growing fintech company seeking a Business Intelligence Analyst to join their Revenue Analytics team. The role involves delivering high-quality reporting and analytics to support decision-making and drive growth across various teams within the organization.

Responsibilities

• Serve as the primary BI partner for Sales, Revenue Operations, and Finance, delivering high-quality reporting, analytics, and strategic insights that drive growth, efficiency, and margin optimization
• Collaborate with a high-performing team of analysts on cross-functional initiatives spanning financial modeling, data infrastructure, investigative analytics, and revenue optimization
• Leverage Excel, SQL, and Looker to produce rapid ad-hoc analyses and build planned dashboards that illuminate company, product, and customer performance in real time
• Respond to data inquiries from teams across the organization, including executives and senior leadership, translating questions into structured analytical approaches
• Design, build, and maintain automated, intuitive Looker dashboards that convert complex datasets into clear KPIs and actionable insights for stakeholders
• Monitor key dashboards, processes, and data pipelines, providing daily/weekly briefs and proactively identifying potential issues or anomalies
• Identify, operationalize, and automate manual data workflows, partnering with Data Engineering where appropriate to improve speed, accuracy, and scalability
• Own and standardize core business metrics, ensuring alignment across teams and maintaining clear documentation of definitions, logic, and data sources

Skills

• Bachelor's degree in a quantitative, analytical, or business-related field (e.g., Data Science, Statistics, Economics, Business Analytics, Engineering, or Finance)
• Genuine passion for financial services, technology, and business problem-solving, with the ability to translate complex financial or accounting concepts into clear analytical insights
• Hands-on experience supporting Revenue, FP&A, or Growth teams, with familiarity in revenue analytics, forecasting, cohort analysis, or unit economics
• Proficiency with modern BI tools — previous experience with Looker and LookML is a strong plus (or similar tools such as Tableau, Power BI)
• Naturally curious, investigative mindset — you actively listen, probe thoughtfully, and dig beneath the surface to uncover the true drivers behind a problem
• Practical judgment and adaptability — you understand when 'perfect' is needed and when 'good and fast' accelerates the business, and you know how to balance data rigor with rapid execution
• 1+ years in an analytical, data-focused role, ideally within fintech, financial services, or a high-velocity digital environment
• Advanced SQL skills and comfort working within modern data ecosystems (Snowflake, BigQuery, dbt, Looker, etc.)
• Strong understanding of data modeling and data architecture principles, and the ability to work efficiently with large, complex datasets
• Exceptionally data-driven — you support recommendations with robust analysis, clear logic, and high-quality evidence
• High attention to detail, even amidst shifting priorities, ambiguity, and fast turnaround times
• Solid foundation in statistics and experience applying statistical methods to real business problems
• Excellent communication and storytelling skills, with the ability to translate technical insights into actionable recommendations for stakeholders across Revenue, Finance, Product, and Engineering
• Collaborative team player who thrives in a cross-functional environment, acting as a central hub for insights across the organization
• Continuous learner with a 'why-driven' approach — you consistently question assumptions, validate hypotheses, and push for deeper understanding

Benefits

• 401(k) match
• Health insurance options
• Disability coverage
• Life insurance
• Unlimited paid time off

Company Overview

Company H1B Sponsorship