MongoDB is seeking a Senior Financial Analyst for our global Corporate FP&A team. We’re looking for an analyst who will work closely with the other FP&A 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 FP&A 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 FP&A processes, build and maintain central onboarding materials, and identify and action opportunities to streamline operations across FP&A teams

What You'll Need:

• Bachelor’s Degree; finance, business or economics preferred

• 3+ years of experience in FP&A 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 at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263341585

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:$78,000—$154,000 USD