Revenue Analyst (Hybrid in Kansas City)

About C2FO

Headquartered in Kansas City, USA, C2FO has more than 450 employees worldwide, with operations throughout North America, Europe, India, Asia Pacific, and Australia. C2FO is the world’s largest on-demand working capital platform. Our mission is to ensure every business has the capital needed to thrive and we have delivered more than $445+ billion in funding to businesses since our founding.

About The Role

The Revenue Analyst supports the sales and marketing teams by analyzing data, maintaining reports, and contributing to insights that improve overall revenue performance. This entry-level role focuses on developing foundational analytics skills, working with structured datasets, and assisting in measuring effectiveness across both sales and marketing channels. The analyst partners with cross-functional teams to support reporting, monitor key performance metrics, and contribute to ongoing analysis efforts, prioritizing projects based on business importance. This is a growth-oriented role designed to build expertise in revenue analytics, data tools, and business insights.

Essential Duties

• Support analysis of marketing, and sales data, applying foundational analytical and problem-solving skills to identify trends and performance insights.
• Assist in building and maintaining dashboards, reports, and visualizations, ensuring data accuracy and clarity for internal stakeholders.
• Partner with marketing and sales teams to support project tracking and performance reporting, developing an understanding of key performance indicators (KPIs) and business impact across the revenue funnel.
• Gather, clean, and validate data from multiple sources, demonstrating strong attention to detail and a commitment to data quality and consistency.
• Prepare clear and concise reports and summaries, communicating findings in a way that is accessible to both technical and non-technical audiences.
• Support ad hoc analysis and business requests from sales and marketing, managing multiple priorities in a fast-paced environment with guidance.
• Contribute to process documentation and workflow improvements, identifying opportunities to increase efficiency and streamline reporting.
• Monitor and track key revenue and performance metrics, building foundational knowledge of customer behavior, segmentation, and effectiveness of go-to-market strategies.
• Assist with basic analysis of results from sales or marketing initiatives, learning how to evaluate performance and support data-driven decisions.
• Collaborate effectively across teams, building strong working relationships and contributing to shared goals.
• Demonstrate curiosity and initiative by continuously building knowledge of revenue analytics best practices and tools, including exposure to AI-driven tools and automation.
• Follow established data governance standards, supporting efforts to maintain reliable and high-quality datasets.

Work Environment

• Travel Requirements: This position is not expected to require travel.
• Hybrid: This position is hybrid, allowing flexibility to work from home, which requires a reliable internet connection in a private setting, and from the office, which is a collaborative open-office environment with access to private meeting spaces as needed.

Basic Qualifications

• Bachelor’s degree in Marketing, Finance, Business Analytics, Statistics, Computer Science, or a related field.
• 1+ years of experience in data analysis, or a related field (internships applicable).
• Basic proficiency in Excel and SQL.
• Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus.
• Exposure to marketing, sales, or general revenue concepts or analytics through coursework, internships, or projects.
• Interest in using AI-powered tools and automation to improve efficiency and workflows.

Preferred Qualifications

• Internship or academic project experience in revenue analytics or data analysis.
• Exposure to tools such as: CRM systems (e.g., Salesforce), Marketing platforms (e.g., Google Analytics, HubSpot).
• Familiarity with basic statistical concepts or testing methodologies.
• Commitment to Diversity and Inclusion.