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Senior Analytics Engineer II

MongoDB LogoMongoDB
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Salary

MongoDB’s base salary range for this role in the U.S. is: $104,000—$204,000 USD

As a Senior Analytics Engineer II within the Business Intelligence & Insights organization, you will play a critical role in leveraging data to drive informed decision-making and simplify end user engagement across our most critical data sets. You will be responsible for designing, developing, and maintaining robust analytics solutions, ensuring data integrity, and enabling data-driven insights across all of MongoDB. This role requires an analytical thinker with strong technical expertise to contribute to the growth and success of the entire business.

This role can be based out of our New York City office or remotely in the North America region.

Responsibilities

  • Design, implement, and maintain highly performant data post-processing pipelines
  • Create shared data assets generating visibility into 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
  • Collaboration and stakeholder engagement
  • 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

Skills & Attributes

  • Strong Proficiency in SQL and experience working with relational databases
  • Experience with Data Visualization tools (e.g. Tableau, PowerBI, Looker)
  • Solid understanding of data modeling and ETL processes
  • Proficiency in at least one programming language for data manipulation and analysis (e.g. Python - Preferred, R, Scala)
  • 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 the role of data in helping solve complex questions
  • Experience combining data from disparate data sources to identify insights that were previously unknown

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