Financial Analyst, P&T
MongoDB New York CityEst. Est. USD 110,000–140,000 / yearMid
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Mongodb
- Excel
- Financial Modeling
The worldwide data management software market is massive (According to IDC, the data management software market is forecast to be $94 billion in 2023 growing to approximately $153 billion in 2027, representing a 13% compound annual growth rate). At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.
MongoDB is seeking a Financial Analyst, AI & Emerging Products to grow our Product & Technology (P&T) FP&A team. You will be responsible for financial planning, forecasting, reporting, and partnering with the business to drive decision-making and resource planning. This Financial Analyst is expected to make significant contributions to the success of MongoDB by working with executives and team leaders to evaluate, plan, execute, and measure strategic business initiatives.
This position requires an adaptable self-starter who is able to work comfortably and communicate clearly with stakeholders across the organization, progress tasks from start to finish, and enjoy working in a fast-paced, challenging environment. The working model for this role is flexible. This is a hybrid in-office/remote role based in our New York City office.
Responsibilities:
Business Partnering: Quickly establish positive relationships and become a trusted partner for your P&T stakeholders, allowing you to build a solid understanding of business drivers and ensuring alignment with overall company objectives
Forecast Coordination & Modeling: Build and maintain detailed financial and operating models to support your stakeholders in all aspects of their budget including headcount planning and optimization
Analyzing: Conduct ad-hoc analyses and build financial models to guide leaders toward efficient operating strategies, resource allocation, and investments in product initiatives
Operational Effectiveness: Improve and scale business, operational, and financial processes understood by all important partners, including standardizing and automating reports and improving how we leverage internal systems
Perform financial month-end close activities, including headcount reconciliations, accrual reviews, and budget vs. actuals analysis and reporting
Partner with recruiting and HR partners to drive efficiencies in workforce planning and reporting for executives and their leaders
Operate independently to prepare schedules and relevant analysis for each planning cycle and develops clear support for management review
What You'll Need:
Bachelor’s Degree; finance, business or economics preferred
0-3 years experience in FP&A, and/or analytical, critical thinking, and quantitative skills
Proficiency in financial modeling, Google Suite, and Microsoft Excel; financial planning tools (Pigment) are a plus
Ability to analyze data, draw conclusions, and develop actionable recommendations
Confidence to forge strong relationships with business partners at all levels of the organization; prior business partnering experience preferred, within a tech company a plus
Drive for results and a sense of urgency with the capacity to multitask and prioritize
Highly organized with rigorous attention to detail
Excellent oral and written communication skills
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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across
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