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Senior Business Operations & Strategy Analyst
보상
$83,000 - $162,000
복지 및 혜택
•스톡옵션
•육아휴직
•교육비 지원
•원격 근무
필수 스킬
Apache Spark
SQL
PyTorch
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.
This role is a hybrid / in-office role, with approximately three days per week in our New York City Office.
Responsibilities
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Lead cross-functional strategic initiatives to identify growth opportunities and drive operational improvements
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Partner with our Product, Engineering and go-to-market teams to develop and execute cohesive strategies and business plans
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Evaluate and propose pricing and packaging strategies for new product launches and adjustments to existing offerings
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Build financial and operational models to support key business decisions
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Conduct ad-hoc analysis in support of cross-functional stakeholders and executive management across all business functions
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Present analytical findings in a clear and impactful manner to both technical and non-technical audiences
Requirements
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BA/BS in a quantitative field
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2-5 years of experience in business strategy and operations, preferably as a management consultant or at a data-driven product/technology company
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Proven track record of using data to drive business decisions including the ability to structure problems for analysis
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Excellent communication skills with the ability to synthesize strategic insights in an actionable and compelling manner
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Advanced Excel and Google Slides or PowerPoint skills
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Confidence using SQL for fetching and manipulating data; experience with a scripting language such as Python or R is a plus
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Ability to move quickly and iterate on analyses
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Comfort with ambiguity and ability to work in a self-guided manner
Success Measures
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Within 1 month, get up to speed on the analytical tools we use, the products we offer our customers and our market and competitors
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Within 2 months, begin driving and leading initiatives to scale the business and/or deliver process improvements
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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.
REQ ID: 3263209158
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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MongoDB 소개

MongoDB
PublicMongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.
5,000+
직원 수
New York
본사 위치
$24.0B
기업 가치
리뷰
10개 리뷰
3.8
10개 리뷰
워라밸
3.5
보상
3.2
문화
4.1
커리어
3.4
경영진
3.0
72%
지인 추천률
장점
Great team culture and collaborative environment
Good work-life balance and flexible hours
Excellent health benefits
단점
High workload and long hours
Management issues and lack of direction
High pressure and stress during peak times
연봉 정보
37개 데이터
Mid/L4
Senior/L5
Mid/L4 · Manager CRM Systems
2개 리포트
$202,004
총 연봉
기본급
$155,418
주식
-
보너스
-
$202,004
$202,004
면접 후기
후기 5개
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
최근 소식
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