Senior Data Analyst, Marketing
Fora
| Company | Fora |
| Category | Data & Analytics |
| Location | New York City |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 10 Oct 2025 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
About Fora
Fora is the modern travel agency , empowering anyone with a passion for travel to build a thriving advisory business. We're modernizing the $100B+ travel agency industry by combining powerful technology, data, and community to enable thousands of entrepreneurs to build on our platform. Our business-in-a-box platform gives travel entrepreneurs everything they need to launch and scale, from cutting-edge tools and personalized training to a vibrant community and exclusive industry partnerships. At the heart of it all is our mission: to help the next generation of travel entrepreneurs turn their love for travel into a fulfilling career , whether full-time or part-time. We believe that everyone, from seasoned professionals to first-time advisors, can build something both profitable and personal.
Founded in 2021 by seasoned entrepreneurs, Fora has grown steadily since, expanding to a team of 200+ full-time employees based in downtown New York City . In 2026, we announced our $60 million Series D investment round , led by Forerunner and Tactile Ventures, with continued participation from existing investors Thrive Capital, Insight Partners, and Heartcore Capital. We've also been recognized as a LinkedIn Top Startup 2024, Fast Company's Most Innovative Companies 2025 and 2023, and we were most recently recognized as one of the TIME100 Most Influential Companies 2026.
We're building the first truly unified platform for all travel needs—leveraging the best of human expertise and technology to transform how people plan and book travel.
About the Role
Fora is looking for a Senior Data Analyst, Marketing to join our growing Data team and partner closely with our Growth, Sales, and Acquisition teams. This is a high impact role at a pivotal stage in Fora’s growth, helping shape how we acquire, qualify, and convert high quality advisors onto the platform.
You will work directly with go to market leaders to answer some of the company’s most important growth questions. From designing experimentation frameworks and improving marketing measurement to identifying scalable acquisition opportunities, you will help the business make smarter, data driven investment decisions. This is an opportunity for someone who enjoys combining technical excellence with strategic thinking to influence how the company grows.
Key Responsibilities
Partner closely with Growth, Sales, and Acquisition teams to deliver actionable insights that inform strategic business decisions.
Design, execute, and evaluate marketing measurement initiatives, including incrementality testing, experimentation, attribution, and other approaches to measuring marketing effectiveness.
Lead complex analyses that uncover opportunities to improve go to market performance, operational processes, and product outcomes.
Develop scalable data models, AI powered analytics tools, and analytics infrastructure using modern technologies to enable trusted self service analytics across the organization.
Define and maintain clear, consistent metrics and measurement frameworks that help teams understand business performance and make informed decisions.
Act as a strategic thought partner by identifying opportunities, developing hypotheses, and translating data into clear recommendations.
Contribute to the evolution of analytics best practices through documentation, knowledge sharing, mentorship, and cross functional collaboration.
Support team planning, prioritization, and the continued growth of the analytics function.
Requirements
Five or more years of experience in a data analytics role, ideally in a fast paced and collaborative environment.
Demonstrated experience in marketing analytics, including experimentation and performance measurement.
Strong proficiency in SQL.
Experience working with modern analytics technologies such as BigQuery, dbt, Airbyte, Omni, Hex, or similar tools.
Experience designing and mainta