Sr. Analytical Engineer, Service Business Operations
About The Position
About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary The Sr. Analytics Engineer will support the Service Business Operations team and report 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 a member of the team, the Sr. Analytics Engineer 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.
Requirements
- 4+ years of professional experience building databases, and data products.
- Experience with SQL, dbt, Databricks, Fivetran, 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 Engineering, 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
- Foundational knowledge of Python or Java
- Travel requirements <10%
- Ability to stand for 8-10 hours per day
- Required to communicate using phone and/or e-mail
- Ability to view, read, and interpret documents
- Ability to perform all duties in an office environment that may contain ambient noise and temperature fluctuations
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
- Code that meets standards for style, maintainability, and best practices, advocating for reusability and automation
- Drive the implementation of new processes and technologies to improve data science and data analytics team efficiency in responding to stakeholders
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Transportation Equipment Manufacturing
Number of Employees
5,001-10,000 employees
