Industrial Data Analyst and Solutions Developer
hace 2 semanas
About Us
Hs Mittweida is a global leader in the agribusiness industry with a mission to connect farmers to consumers and deliver essential food, feed, and fuel to the world.
We have unmatched global scale and deeply rooted relationships which allow us to bring innovative ingredients and knowledge to some of the world's biggest brands. Our dedication to excellence drives us to work together as one team to achieve our mission and deliver the best results for our customers, each other, and the world.
Job Overview
This role is responsible for assisting in data and information cleaning, mining, cataloging, analyzing, and interpreting obtained by digital or analog means. The successful candidate will be a crucial professional in supporting decision-making processes and extracting patterns from collected data.
Main Accountabilities:
- Understand industrial processes KPIs and generate dashboards and tools to evaluate and improve factory performances.
- Generate statistics and advanced process analysis, including production processes, maintenance processes, industrial procurement processes, industrial logistics processes, safety processes, and any process related to industrial tasks.
- Work closely with local site automation engineers to connect process and plant data to historian systems and generate a proper database.
- Guarantee user adoption and provide training.
- Collaborate with IT in infrastructure and architecture of networks, ensuring segregation between IT and OT networks following OT global standards and security policies.
- Develop and update statistical algorithms.
- Perform basic statistical analysis of industrial data.
- Assist in meeting data environment governance requirements.
Required Skills and Qualifications:
- Knowledge of Microsoft Office package, BI tools (Tableau Power BI), Python programming, database management, PI systems (OSI, Google Cloud Platform, Ignition, etc).
- Strong analytical skills.
- Excellent communication and storytelling skills.
- A degree or equivalent experience in Engineering and Computer Science (possibly still studying).
- Familiarity with process industry KPIs, Bigquery tools, Looker/Power BI/Tableau, basic statistics, and Jupyter tool.
- Previous experience working in the Google Cloud Platform (GCP) environment.
Estimated Salary: $80,000 - $120,000 per year, depending on location and experience.
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