Senior Data Analyst II, Product

The worldwide data management software market is massive (IDC forecasts it to be $138 billion by 2026!). At MongoDB we are 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. The Senior Product Analyst II will play a meaningful role in further developing our rapidly growing Data Analytics function. Partnering with stakeholders across Product Management, Engineering and Analytics teams, as well as with other teams around the business, this role will surface key insights to drive business decision making. This role requires someone with strong analytical and technical skills, and who is comfortable partnering with stakeholders at all levels of the organization and across multiple functional areas in a fast-paced, challenging environment. We are looking to speak to candidates who are based in Austin, TX for our hybrid working model. Responsibilities - Develop a deep understanding of what types of features and products customers are using across different stages of their MongoDB lifecycle, find pain points, and conduct deep-dives to provide actionable recommendations that improve the customer experience - Define KPIs and diagnostic metrics that help improve the user experience - Surface insights to drive executive decision making across the business - Create measurement frameworks to measure the success of each product - Conduct deep dive analysis to assess product performance and health - Serve as an analytical and technical thought partner to stakeholders across the product, analytics, data science teams - Make the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processes Skills & attributes - 5+ years of hands-on analytics experience with for product and / or growth teams, ideally at a software company - Advanced SQL skills and proficiency with either Python or R - Deep understanding of SaaS products and demonstrated success of partnering with product teams to conduct a wide range of experiments. - Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organization - Effective at communicating technical concepts to non-technical audiences - Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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, 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: 1273420170 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity,

5+ years of hands-on analytics experience with for product and / or growth teams, ideally at a software company. Advanced SQL skills and proficiency with either Python or R. Deep understanding of SaaS products and demonstrated success of partnering with product teams to conduct a wide range of experiments. Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organization. Effective at communicating technical concepts to non-technical audiences. Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment.