Senior Financial Analyst

MongoDB
New York CityPosted 7 April 2026

Job Description

MongoDB is seeking a Senior Financial Analyst for our global Corporate FPA team. We’re looking for an analyst who will work closely with the other FPA team members and play a critical role in shaping and managing the global forecasting and planning process, with a primary focus on our planning systems, data flows, and tooling. You communicate clearly and are able to successfully juggle multiple priorities. You are a driven self-starter who is able to work with senior leadership comfortably, takes tasks from start to finish and someone who enjoys working in a fast-paced, challenging environment. You are responsive and adapt quickly to change, embrace challenges and champion the advancement of analyses, financial planning tools, systems, and controls. We are looking to speak to candidates who are based in New York City, NY for our hybrid working model. Responsibilities: Planning Systems: Partner with the IT, People, Finance teams to help modernize/automate our forecasting and planning tools, with a focus on workforce planning. We’re on a multi-year journey to improve our planning systems and you’ll play a key role in defining requirements and implementing solutions for FPA and our partners Forecast Coordination Consolidations: You’ll bring order to a fast-moving planning ecosystem. Manage the company’s planning process/calendar and corporate-level forecast consolidation. This includes ownership of the planning calendar with clearly communicated timelines, deliverables, and expectations with all planning stakeholders Management Reporting: Maintain and develop reporting to summarize data and facilitate decision-making for senior management including the CEO, CFO, SVP of Finance, and the Board of Directors Forecast global budget items such as payroll taxes, benefits, and allocations Process Simplification and Documentation: Document common FPA processes, build and maintain central onboarding materials, and identify and action opportunities to streamline operations across FPA teams What You'll Need: Bachelor’s Degree; finance, business or economics preferred 3+ years of experience in FPA or Corporate Finance roles with a heavy focus on planning systems, data, and tooling (e.g., system admin, model builder, or “power user” responsibilities Hands-on experience with at least one enterprise planning platform (e.g., Workday Adaptive Planning, Anaplan, Pigment); direct implementation experience with Adaptive and/or Pigment is a strong plus Strong skills in financial modeling and data management in Google Sheets / Excel, including comfort working with large, multi‑tab models and building robust checks and controls Demonstrated experience with system integrations and reconciliations (e.g., ERP → planning tool, HRIS → HC models), including diagnosing issues and partnering with technical teams to resolve them Excellent communication skills — able to translate complex system and data topics into clear language for Finance, Accounting, People Team, and business partners Highly organized, process‑oriented, and energized by creating structure, documentation, and repeatable workflows in an evolving, high‑growth environment About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass a ... (truncated, view full listing at source)
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