Data Analysts at Bright Machines are responsible for the data acquired from our manufacturing data sources as well as maintaining large datasets, their accuracy and accessibility – they are the key component in Bright Machines' secret sauce that turns data into knowledge. Our robots and software are deployed in a variety of factory conditions that help support the manufacturing operations for some of the biggest names in the industry, in which data is key to making decisions.
The data analyst is responsible for interpreting data and analyzing results using statistical techniques. They work closely with software engineers to develop and implement data collection systems that allow for process optimization using statistics, improving efficiency and quality.
A data analyst’s responsibilities include translating a deep analysis of data into understandable visual representations for product managers, system engineers, automation engineers and our end customers. They help define Key Performance Indicators (KPIs) for features and products and create dashboards to monitor those KPIs. They also ensure quality assurance and process documentation.
You will be part of the team that creates scalable data collection systems that drive our cloud-based analytics, data pipeline, and machine learning systems, performance monitoring, dashboarding, and command/control systems on the factory floor, as well as on-robot operations. You will work on a team with other software engineers in the Bright Machines Yakum office to define and implement our data collection stack – from robot to cloud.
This is a unique opportunity to be part of a greenfield development effort that will change the way
companies build and produce products. If you’re ready to apply exceptional engineering practices
and build the software that will define the next generation in manufacturing, this is your opportunity
to “Be Bright”.
