MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
MongoDB is seeking a Business Operations & Strategy Senior Analyst to help drive strategic and operational initiatives across MongoDB. In this role, you will sit at the intersection of operations, analytics, finance, and product management, working closely with internal stakeholders to identify and solve complex business problems.
This position requires a driven self-starter who is able to communicate clearly and effectively with leadership and successfully juggle multiple priorities. You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic, fast-paced, and challenging environment.
We are looking to speak to candidates who are based in New York City, NY for our hybrid working model.
Responsibilities
- Lead and coordinate cross-functional strategic initiatives to identify and execute against opportunities to improve our business
- Partner with our Product and go-to-market teams to develop and implement coherent strategies and business plans
- Apply strategy and operations experience to uncover operational issues and drive process improvements at MongoDB
- Conduct ad-hoc analysis in support of cross-functional stakeholders and executive management across all business functions
- Embed yourself with other teams in the company to understand the relevant questions and needs of the business, and use that to inform analysis
- Effectively communicate analytical findings to non-technical audiences
Requirements
- BA/BS in a quantitative field
- 2-5 years of experience in business strategy and operations, preferably as a management consultant or at a data-driven product/technology company
- Proven track record of using data to drive business decisions including the ability to structure problems for analysis
- Excellent communication skills with the ability to synthesize strategic insights in an actionable and compelling manner
- Advanced Excel and Google Slides or PowerPoint skills
- Confidence using SQL for fetching and manipulating data; experience with a scripting language such as Python or R is a plus
- Ability to move quickly and iterate on analyses
- Comfort with ambiguity and ability to work in a self-guided manner
Success Measures
- Within 1 month, get up to speed on the analytical tools we use, the products we offer our customers and our market and competitors
- Within 2 months, begin identifying and leading initiatives to scale the business and/or deliver process improvements
- Within 3 months, scope and kick-off your first major initiative, with input from Business Operations and cross-functional teams
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: 1263101943
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:
$83,000—$162,000 USD
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What the Team is Saying
What We Do
The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.
Why Work With Us
We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.
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MongoDB Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.
