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Sr. Analytics Engineer, Business Operations

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Rivian is looking for an Sr. Analytics Engineer to support the Service Business Operations team reporting to the Manager of Data Science and Engineering. The Service Business Operations team works across the organization to use data to inform and aid in the strategic planning and operational decisions of how we allocate resources to support Rivian in its growth. As an early member of a growing team, this role will be responsible for helping to design, implement, deploy and support data models and schemas to drive improved insights for our stakeholders. In addition, this role will act as a liaison between the Business Operations team and data engineering teams to ensure we are building robust solutions to support the business.

‍Responsibilities‍

  • Design and build databases, data models, and data products, delivering clean and structured data that will empower Data Scientists and Analysts
  • Automate processes including, but not limited to ETL or ELT, data monitoring, and testing to maintain robust data schemas and models, making that data available within our data warehouse
  • Apply software engineering best practices to our analytics code pipelines (e.g. version control, testing, continuous integration)
  • Maintain excellent data documentation and definitions for our analytics data models and core business objects
  • Collaborate and partner with Operations teams and develop domain knowledge of Service Operations, processes, and data
  • Drive the implementation of new processes and technologies to improve data science and data analytics team efficiency in responding to stakeholders

‍Qualifications‍

  • 4+ years of professional experience after receiving a degree in a quantitative field. Experience with dbt, Databricks, AWS services (e.g. S3, Redshift, Glue, etc.) a plus.
  • Bachelors or Masters in Computer Science, Engineering, Data Science, Data Analytics, or a related technical discipline
  • Proven professional experience working through an environment of ambiguity with the ability to self-prioritize responsibilities and requests from multiple cross functional partners
  • Experience working with technical teams, such as Data Analytics or Data Science, and non-technical teams, to gather requirements, build solutions, and lead technical design of data platforms in an Agile environment
  • Experience working with two or more of the following: databases, data architecture, CI/CD, machine learning operations
  • Ability to sit for 8-12 hours per day
  • Travel requirements \<10%%

Salary Range for California Based Applicants: $121,000 to $150,000 (actual compensation will be determined based on experience, location, and other factors permitted by law)

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