Senior Data Analyst

Summary

Join MongoDB as a Senior Product Analyst II and play a key role in enhancing the efficiency and effectiveness of our engineering teams. Collaborate closely with Engineering, Product Management, and cross-functional stakeholders to gain insights into developer workflows, identify bottlenecks, and develop data-driven strategies to boost velocity and impact. The ideal candidate possesses strong analytical and technical skills, a passion for high-performing teams, and the ability to influence decision-making. This role offers remote work options within North America or at one of our regional offices. Contribute to a data-driven approach to scaling high-performing development teams and improve operational efficiency within engineering. We are committed to fostering a supportive and enriching culture for our employees.

Requirements

• 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

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

Benefits

• Flexible paid time off
• 20 weeks fully-paid gender-neutral parental leave
• Fertility and adoption assistance
• 401(k) plan
• Mental health counseling
• Access to transgender-inclusive health insurance coverage
• Health benefits offerings