Senior Data Analytics Engineer
RPS North AmericaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 6+ years of experience in a data/analytics engineering role.
Advanced knowledge of SQL and Python is required, along with experience in dbt, Looker, cloud data warehouses, and dimensional modeling concepts.
This information is not specified in the job description.
This information is not specified in the job description.
The data team works in a fast-paced start-up atmosphere, engaging in advanced data work like marketing attribution models, growth analytics, product AB testing, and modern data engineering to solve complex business problems.
Cloud-based quoting software for manufacturers
Paperless Parts provides quoting software designed specifically for manufacturers, catering to a wide range of clients from small job shops to large production facilities. The main product is a cloud-based platform that simplifies and speeds up the quoting process, enhancing accuracy. Key features of the platform include advanced analytics, collaboration tools, and a part viewer, which collectively help manufacturers optimize their operations and increase their success rates in winning quotes. Unlike many competitors, Paperless Parts operates on a subscription-based model, allowing clients to access the software for a recurring fee. The company's goal is to make manufacturing more efficient and accessible, ultimately aiming to transform the industry.