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 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 Senior Product Analyst II, will play a key role in shaping how we understand and improve the efficiency and effectiveness of our engineering teams. In close partnership with Engineering, Product Management, and cross-functional stakeholders, this role will uncover insights into how developers work, identify bottlenecks, and help design data-informed strategies to drive velocity and impact. The ideal candidate will bring strong analytical and technical expertise, a passion for enabling high-performing teams, and the ability to influence decision-making across a fast-paced, dynamic organization.

This role can be based remote out of North America or one of our regional offices.

Responsibilities

• Surface insights and actionable recommendations to inform engineering and executive decision-making around developer efficiency, velocity, and impact
• Create measurement frameworks to measure product success
• Define and refine KPIs and diagnostic metrics aligned to engineering health, such as deployment frequency, lead time, and cycle time
• Conduct deep-dive analyses into the software development lifecycle to identify friction points, inefficiencies, and opportunities for improvement
• Act as a strategic analytical partner to Engineering, Product, and cross-functional teams, helping to shape a data-driven approach to scaling high-performing development teams
• Improve operational efficiency within engineering by evaluating and implementing tooling, automating repetitive processes, and promoting best practices in data instrumentation and usage

Skills & attributes

• 3+ years of hands-on analytics experience with product and / or growth teams, ideally at a software company
• Advanced SQL skills and experience building pipelines. Proficiency with Python or R preferred
• Deep understanding of SaaS products and demonstrated success partnering with product teams to answer a wide range of questions employing various analytics approaches and methodologies 
• 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

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.

Red ID: 2263146312