MongoDB is seeking a Senior Analyst, Financial Planning and Analysis (FP&A) for our R&D Business Partnering team. You will set the direction for how we improve the “customer experience” for our senior stakeholders in the “Product & Technology” (“P&T”) organization; offer data-driven insights into our R&D investments; and establish strong relationships with Finance, Operations, and People team partners that are critical to our success. The Senior Analyst will be accountable for day-to-day operational excellence, while incubating and driving big picture initiatives.

Preference for candidates who can be in-person in our New York City office for approximately 2-3 days per week (Tuesday, Wednesday, Thursday). Remote candidates considered if able to commit to working hours consistent with East Coast timezone.

The Senior Analyst is expected to make significant contributions to the success of MongoDB by enabling executives and team leaders to make better decisions that are informed by financial and operational data.

• Building Relationships: Establish and own positive relationships and become a “source of truth” and reliable partner for our P&T business partners. Learn their organizations so that we can connect the dots between the P&T environment, the themes in other areas of the business, and MongoDB’s company objectives
• Forecasting and Budgeting: Coordinate these processes with VP-level stakeholders, honing in on the key levers for growth and investment and prioritizing the key risks. Headcount planning and optimization is a key focus; you will partner with Recruiting and HR partners to drive efficiencies in workforce planning and reporting
• Financial Hygiene: Perform financial month-end close activities, including budget vs. actuals analysis/reporting and headcount reconciliations
• Operational Effectiveness: Improve and scale business, operational and financial processes from idea to adoption, including getting buy-in from important stakeholders and partners. Examples include standardizing and automating reports on our vendor contracts and improving how we leverage internal systems
• Data Analysis and Decision Support Modeling: Conduct ad-hoc analyses and build financial models and spreadsheet/dashboard tools to guide leaders towards efficient operating strategies, resource allocation, and investments in product initiatives

By the end of 90 days, a successful Senior Analyst will be the primary owner of the monthly close process (“Financial Hygiene” above) and own the relationship with a select group of VP+ stakeholders in the MongoDB P&T organization.

• 2 to 5 years of experience in FP&A, financial services, management consulting, or data analytics
• Proficiency in spreadsheet modeling and conducting analyses across multiple data sources and systems; familiarity with financial planning tools (Workday Adaptive, Anaplan, etc.) is a plus
• Reputation for curiosity (re: the work of our stakeholders and partners) and for building systems and investing in people
• Proven track record of creating structure, prioritizing, and meeting timelines in situations that are uncertain or ambiguous
• Persuasive and concise communications when you analyze data, draw conclusions, and develop actionable recommendations. Prior experience taking analysis and insights all the way through to execution and adoption

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: 4263307789

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.