Posted 5 Jul 2022, 3:35 am
Analytics Engineer Factory Data at Rivian Automotive
Factory Data is the central team within Manufacturing Engineering that delivers advanced analytics, online algorithms, and strategic decision science critical to Rivian’s mission. To enable that work we build and use Rivian’s Factory Data Cloud - the cohesive platform that enables the tight data and model integrations our factories need to enable Rivian to scale with unprecedented quality, speed, and operational performance. Our customers are Manufacturing Engineering and a broad cross-section of Rivian’s organizations including Production, Quality, Product Design, Reliability, and of course ourselves.
- Build code-based data transformation pipelines that deliver clean/structured data ready for analysis (primarily using dbt and an “ELT” workflow in Snowflake)
Help organize and stage file-based data in AWS S3 and make that available within our data warehouse when possible
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
Be an expert in our core data sources and train business users on how to understand/consume that data
Build out data dashboards (e.g. in Tableau, R Shiny) to expose analytics data models to users for basic access and to provide feedback/review
- 5+ years professional experience after receiving a degree in a quantitative field
- Exceptional verbal, written, and visual communication skills in a cross-functional environment
Fluency with SQL for performing data transformation
Strong understanding of tidy, relational data structures for analytics/reporting
Experience with R or Python (and a willingness to learn) is a plus
Experience with Tableau for building analytics dashboards is a plus
Experience using git and version controlled workflows (e.g. branching, merge-requests, code-review)
Eagerness to work closely with manufacturing engineering teams and develop domain knowledge about manufacturing processes
This is where you'll work:
Department: Manufacturing Engineering - Factory Data
Location: Palo Alto, CA or Remote, USA
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Source: Remote Ok