Staff Analyst, Analytics

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 Role

The Staff Analyst, Sales Analytics will be a key contributor to MongoDB’s centralized Analytics & Data Science team, supporting data-driven decision-making for the Sales organization. This role will focus on analyzing sales performance, pipeline trends, productivity metrics, and compensation structures to drive strategic insights. While deeply embedded within the sales function, this position is part of a broader analytics team, ensuring alignment with company-wide data strategy and best practices.

The ideal candidate will bring advanced analytical capabilities, a passion for solving complex business problems, and the ability to work cross-functionally in a fast-paced environment. This role requires a high level of ownership over key analytical projects, driving insights that shape strategic decision-making within the Sales organization.

This role can be based out of our MongoDB offices or remotely in the United States.

Responsibilities

• Take full ownership of key analytics projects, driving them from scoping to execution with minimal oversight
• Develop and enhance Sales Analytics reporting frameworks to provide clear visibility into sales performance, pipeline trends, and revenue forecasting
• Define and track KPIs related to sales productivity, funnel efficiency, pipeline health, and overall business impact
• Conduct deep-dive analyses on sales processes, pipeline conversion rates, and customer segmentation to inform sales strategies
• Partner with Sales Operations, FP&A, Sales Commission, and Strategy & Planning teams to analyze sales compensation structures, ensuring alignment with performance goals
• Use advanced analytics and statistical methods to assess sales trends, forecast revenue, and identify opportunities for growth
• Work closely with Data Architecture, Data Engineering, and IT teams to create and manage a curated central repository of sales and product usage data
• Build high-quality data products, such as dashboards and AI-driven insights, to enable self-service analytics across the sales organization
• Develop a keen understanding of stakeholder business strategy and provide actionable insights to optimize people and processes
• Ensure key principles of Data Governance, Data Management, and Advanced Analytics (including AI & GenAI) are implemented across the organization
• Collaborate with other analytics teams to align on data strategy, share best practices, and drive holistic insights across departments
• Communicate analytical findings effectively to non-technical audiences and influence strategic decisions

Requirements

• 6+ years of hands-on experience in Sales Analytics, Revenue Analytics, or GTM Analytics, ideally at a fast-growing SaaS or technology company
• Strong expertise in data analysis, statistical modeling, sales reporting, and pipeline analysis
• Advanced SQL skills and proficiency in Python (or R) for data analysis and statistical modeling
• Experience with data visualization tools such as Tableau, Looker, or Power BI
• Strong understanding of data governance, data quality best practices, and AI-driven analytics
• Experience building automated dashboards and self-service analytics tools for sales teams
• Proven ability to translate complex data into actionable business insights and effectively communicate findings to senior leadership
• Experience working cross-functionally with Analytics, Sales, Finance, and Operations teams to drive data-driven decision-making
• Ability to work independently and take full ownership of projects with minimal guidance
• Strong communication and stakeholder management skills

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: 1263091682