Senior Data Analyst

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 anywhere-on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

This analyst will sit in our analytics org, embedding with the billing team. The billing and payments teams are responsible for measuring our customers' usage of our core product, Atlas, and the data they produce is the lifeblood of how we run the business in a data-driven way. Virtually every team in the company relies on billing, including analytics, sales, marketing, product, accounting and commissions. The analyst will help billing make better use of data, make their own data more resilient, and translate between the engineering-centric billing org and the broad set of downstream business users of the data. This is a new role with the Analytics Organization working directly with Billing, and will be pioneering many of the insights and metrics used to drive improvements.

This role will be based remotely in New York, NY.

• Build a strong relationship with billing engineering team, supporting them with data and analysis
• Work with the billing leads and your manager to establish the nascent billing analytics function: establish an analytics roadmap that focuses on tracking and improving the integrity of our billing data and sustainability of billing infrastructure
• Help set up advanced billing anomaly detection
• Help with billing issues: Size impact, translate impact to stakeholders, calculate billing backfills and adjustments
• Quantitatively measure success of new billing initiatives
• Help make billing data more accessible to others on analytics and around the company

• 3-5 years of hands-on analytics experience
• Strong analytical and data wrangling skills
• Outstanding SQL skills and knowledge of a scripting language (eg Python)
• Experience working with engineers and "translating" between technical and business teams
• Methodical with strong attention to detail
• Experience working with finance/accounting functions preferred
• Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment

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.