채용
Benefits & Perks
•Parental Leave
•Fertility Assistance
•Mental Health
•Parental Leave
•Mental Health
Required Skills
SQL
Python
R
Data Analysis
Data Modeling
Tableau
MongoDB is seeking a Sr. Analyst II for our Go-To-Market (GTM) Analytics team to support data-driven decision making for the Customer Success organization and company overall. Partnering with stakeholders from Customer Success, Technical Services, Professional Services and Sales, you will help to identify opportunities to optimize processes and build high quality data products that help our external facing teams improve the customer experience.
This position requires a driven self-starter who is able to communicate clearly and effectively and successfully juggle multiple priorities. You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic and fast-paced environment.
We are looking to speak to candidates who are based in Gurugram Office for our hybrid working model.
Responsibilities
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Partner with Go to Market (GTM) Teams including Customer Success, Technical Services, Professional Services and Sales to design and surface insights that help us retain and grow customers
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Work closely with partners across the organization to ensure key principles of Data Governance, Data Management, Data Architecture, Advanced Analytics, and Artificial Intelligence (including GenAI) are implemented
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Develop a keen understanding of stakeholder business strategy and areas of opportunity to turn analyses into actionable data-driven insights, and make business recommendations to drive optimization of people and process
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Help develop and execute against roadmap for GTM data investments to both capture near-term value and set up the team for long-term success
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Liaise with Data Architecture, Data Engineering, and IT teams to create and manage a curated central repository of product usage data
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Play a role in connecting the dots with systems and data flow in guiding processes and aligning to stakeholder objectives across go to market teams
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Build high quality data products to enable the business to autonomously retrieve information about their line of business (dashboards, ai chatbots, etc.)
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Scoping, planning and execution of larger scale data analysis projects to answer specific business questions related to strategy or operations.
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Develop and support ongoing data governance and data quality processes
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Effectively communicate analytical findings to non-technical audiences
Requirements
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5+ years of experience in a data analyst or similar role (focus on customer or sales analytics preferred)
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Strong SQL skills and proficiency with either Python or R required
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Experience conducting complex analysis of large datasets and communicating findings clearly to audiences of all levels
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Demonstrated interest and experience in scoping and building data sets and data products leveraging artificial intelligence technologies / models
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Proficiency with data modeling and data quality best practices and experience working with stakeholders to identify and build data collection and storage strategies to enable program effectiveness measures
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Experience creating automated dashboards designed for user self-service, ideally in Tableau
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Strong communication skills and ability to effectively interact with internal business partners at all levels of the organization
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Highly collaborative and organized, with a strong attention to detail and ability to identify potential data discrepancies and root causes
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Comfort with ambiguity and ability to work in a self-guided manner
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 is an equal opportunities employer.
Requisition ID
4263342801
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About MongoDB

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+
Employees
New York
Headquarters
$24.0B
Valuation
Reviews
3.7
2 reviews
Work Life Balance
3.0
Compensation
2.0
Culture
3.0
Career
2.5
Management
3.5
25%
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Pros
Practical experience with Node.js and MongoDB
Learning NoSQL database management
Web scraping experience
Cons
Poor application performance (5+ second response times)
Difficult job market with low interview rates
Unpaid internship opportunities
Salary Ranges
0 data points
Junior/L3
L3
L4
L5
L6
Senior/L5
Staff/L6
Director
Junior/L3 · Associate Product Manager
0 reports
$137,500
total / year
Base
-
Stock
-
Bonus
-
$116,875
$158,125
Interview Experience
10 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 80%
Negative 20%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview
4
Final Round/Onsite
5
Offer Decision
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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