Senior Data Analyst

Summary

Join MongoDB as an Analytics Engineer and leverage data to drive informed decision-making. You will design, develop, and maintain robust analytics solutions, ensuring data integrity and enabling data-driven insights. This role requires strong technical expertise and analytical thinking to contribute to MongoDB's growth. The position can be based in New York City or remotely in North America. You will partner with stakeholders to curate datasets and generate actionable insights, collaborate with data engineering, and contribute to analytics infrastructure. You will also create and manage documentation and conduct knowledge-sharing sessions. This role offers opportunities for professional growth and impact.

Requirements

• Bachelor’s degree (or equivalent) in mathematics, computer science, information technology, engineering, or related discipline
• 2-4 years of relevant experience
• Strong Proficiency in SQL and experience working with relational databases
• Solid understanding of data modeling and ETL processes
• Proficiency in Python for data manipulation and analysis
• Familiarity with CI/CD concepts and experience with managing codebases with git
• Experience managing ETL and data pipeline orchestration with dbt and Airflow
• Familiarity with basic command line functions
• Experience translating project requirements into a set of technical sub-tasks that build towards a final deliverable
• Committed to continuous improvement, with a passion for building processes/tools to make everyone more efficient
• The ability to effectively collaborate cross-functionally to drive actionable and measurable results
• A passion for AI as an enhancing tool to improve workflows, increase productivity, and generate smarter outcomes
• Strong communication skills to document technical processes clearly and lead knowledge-sharing efforts across teams
• A desire to constantly learn and improve themselves

Responsibilities

• Design, implement, and maintain highly performant data post-processing pipelines
• Create shared data assets that will act as the company’s source-of-truth for critical business metrics
• Partner with analytics stakeholders to curate analysis-ready datasets and augment the generation of actionable insights
• Partner with data engineering to expose governed datasets to the rest of the organization
• Make impactful contributions to our analytics infrastructure, systems, and tools
• Create and manage documentation, and conduct knowledge sharing sessions to proliferate tribal knowledge and best practices
• Maintain consistent planning and tracking of work in JIRA tickets

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