8 days ago

Senior Business Operations & Strategy Analyst

MongoDB

On Site
Full Time
$120,000
New York, NY

Job Overview

Job TitleSenior Business Operations & Strategy Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$120,000
LocationNew York, NY

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Job Description

About the Role

MongoDB is seeking a Senior Business Operations & Strategy 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.

This role is a hybrid / in-office role, with approximately three days per week in our New York City Office.

Responsibilities

  • Lead cross-functional strategic initiatives to identify growth opportunities and drive operational improvements
  • Partner with our Product, Engineering and go-to-market teams to develop and execute cohesive strategies and business plans
  • Evaluate and propose pricing and packaging strategies for new product launches and adjustments to existing offerings
  • Build financial and operational models to support key business decisions
  • Conduct ad-hoc analysis in support of cross-functional stakeholders and executive management across all business functions
  • Present analytical findings in a clear and impactful manner to both technical and 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 driving and leading initiatives to scale the business and/or deliver process improvements
  • Within 3 months, scope and launch your first major initiative, with input from Business Operations and cross-functional teams

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.

Key skills/competency

  • Business Operations
  • Strategic Planning
  • Data Analysis
  • Financial Modeling
  • SQL
  • Cross-functional Collaboration
  • Pricing Strategy
  • Problem Solving
  • Executive Communication
  • Product Strategy

Tags:

Business Operations & Strategy Analyst
strategic initiatives
operational improvements
business plans
pricing
financial modeling
ad-hoc analysis
executive presentations
problem-solving
data-driven decisions
cross-functional
SQL
Python
R
Excel
Google Slides
PowerPoint
data analysis tools
financial modeling tools
business intelligence
database

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How to Get Hired at MongoDB

  • Research MongoDB's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight experience in business strategy, data analysis, and cross-functional project leadership relevant to MongoDB.
  • Showcase data-driven impact: Prepare examples demonstrating how you've used data to drive strategic decisions and operational improvements at MongoDB.
  • Master technical skills: Practice SQL, Excel, and presentation tools; highlight any Python/R experience for MongoDB's data-intensive environment.
  • Prepare for behavioral questions: Anticipate questions about collaboration, problem-solving, and working in fast-paced, ambiguous environments at MongoDB.

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