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Required Skills
SQL
Salesforce
Tableau
Project Management
The role
To fuel this growth, we are hiring a Senior GTM Intelligence Analyst to build the data-driven analytics team. This role is a key member of our growing GTM Analytics team and is responsible for building and maintaining data infrastructure used by our global salesforce and leadership team, with a strong emphasis on stakeholder collaboration.
You will have the opportunity to
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Get insights and experience first-hand how an effective, fast-paced organization operates through learning about marketing/sales processes, collaboration and tools
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Work with various BI tools, develop analytics frameworks and see how data is used to drive business outcomes
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Accelerate your career through exposure to the most effective sales methodology and through working side by side with the best sales professionals in the industry
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Establish a strong network of peers and mentors
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Gain insight into a $60b+ technology industry that is rapidly transforming
Responsibilities
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Collaborate closely with various stakeholders to understand their data needs and requirements, especially converting high-level business challenges into actionable, technical solutions.
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Undertake project management responsibilities to effectively plan, organize, and oversee data analysis projects with minimal supervision, while handling competing priorities and stakeholders independently
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Proactively navigate ambiguity by synthesizing unclear or complex business objectives into clear, actionable analytical frameworks, dashboards, or tools, operating with minimal direction or oversight
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Independently gather requirements from non-technical stakeholders, analyzing their needs, and translating those into scalable technical tools, dashboards, or processes that align with broader business objectives
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Build tools to put data in the hands of our GTM teams to allow them to make data-driven decisions and increase their productivity
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Create our reporting frameworks that allow senior leadership to make data-driven decisions about the business
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Partner with executive business stakeholders across the company to give them data-driven insights into the performance of the sales organization
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Lead and conduct ad hoc analyses and effectively communicate findings to non-technical audiences
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Scale and manage multiple concurrent projects across a diverse range of responsibilities and stakeholders, ensuring effective prioritization, progress tracking, and meeting deadlines
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Review, update, and audit key sales-facing dashboards that track pipeline, productivity, attainment, and other key metrics
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Work with the centralized data architecture team to build schemas that help measure critical business metrics for sales
Requirements
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3-5 years of work experience, ideally in a quantitative role
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SQL experience
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Dashboarding experience in Tableau or equivalent dashboard tools
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Experience in Sigma and CRM-Analytics will be an advantage
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Ability to communicate efficiently and effectively with senior stakeholders and convert their requirements into clear technical deliverables
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Hands-on experience working with large datasets to conduct analysis, identify issues, and quantify impact
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Proactive ability to navigate ambiguity and distill complex, high-level business needs into clear, actionable technical requirements and tools, while maintaining a self-driven approach to problem-solving
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Knowledge of Google Sheets and/or Microsoft Excel
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Experience with Salesforce reports & dashboards preferred
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 over 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.
REQ ID: 426178
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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%
Recommend to a Friend
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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