Senior Data Analyst II

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.

The database market is massive (the IDC estimates it to be $119B+ by 2025!) and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

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 New York City for our hybrid working model or remote in the US.

Responsibilities

• 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 
• 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
• 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
• 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
• Liaise with Data Architecture, Data Engineering, and IT teams to create and manage a curated central repository of product usage data
• 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
• Build high quality data products to enable the business to autonomously retrieve information about their line of business (dashboards, ai chatbots, etc.)
• Scoping, planning and execution of larger scale data analysis projects to answer specific business questions related to strategy or operations 
• Develop and support ongoing data governance and data quality processes
• Effectively communicate analytical findings to non-technical audiences

Requirements

• 5+ years of experience in a data analyst or similar role (focus on customer or sales analytics preferred)
• Strong SQL skills and proficiency with either Python or R required
• Experience conducting complex analysis of large datasets and communicating findings clearly to audiences of all levels
• Demonstrated interest and experience in scoping and building data sets and data products leveraging artificial intelligence technologies / models
• 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
• Experience creating automated dashboards designed for user self-service, ideally in Tableau 
• Strong communication skills and ability to effectively interact with internal business partners at all levels of the organization
• Highly collaborative and organized, with a strong attention to detail and ability to identify potential data discrepancies and root causes
• Comfort with ambiguity and ability to work in a self-guided manner

To drive the personal growth and business impact of our employees, we’re