Solar-Storage
Location: Cartersville, GA (On-site)
Summary
The Senior Data Analyst will provide data-driven solutions to overcome various challenges from solar product manufacturing. With data analytics, you will help reduce downtime, increase yield and productivity, identify and resolve potential issues before they occur and optimize manufacturing processes, and enabling manufacturers to deliver better products to customers.
Responsibilities
Define engineering problems of the solar PV manufacturing process and provide analytical solutions by collaborating with cross-functional teams
Interface with engineers/technicians to receive and distill requirements – allowing them to make effective decisions for process operations via thorough analytical support
Find root causes of process/equipment failure, unexpected shut-downs, and decreasing yield, productivity, or efficiency
Build data-driven models with historical data to forecast future statements, predict equipment health, and simulate various operating conditions
Operating, Monitoring, and Maintaining existing data-driven models or process control systems
Required Qualifications
Bachelor’s degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Chemical Engineering or a related field) with 1-5 years of manufacturing experience
Expert on various programming, scripting, and querying languages; Python, SQL, etc.
Deep understanding of statistics and machine learning algorithm to build data-driven model
Expert knowledge in statistical packages (Numpy, Scipy, Scikit-learn) and deep learning frameworks (Pytorch, Tensorflow, Keras) in Python
Understanding of control theory – PID, Robust control, MPC, Run-to-run control, iterative learning control, etc.
Excellent data analysis and data investigation skills and written/verbal communication skills
Ability to work independently and collaboratively in a team environment
Preferred Qualifications
Master’s degree in in quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Chemical Engineering or a related field)
Experience in a data-related role in solar PV or display device or semiconductors manufacturing industry
Experience in automation engineering – PLC programming, Human-Machine Interfaces(HMIs), and Machine to Machine communication
Proficiency in data visualization tools – Spotfire, Tableau, PowerBI, etc.
Experience in the big data technologies – Hadoop, Spark, Kafka, etc.
Experience in development digital twins for manufacturing system
Hanwha Q CELLS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.
Solar-Storage
More Information
- Term Entry +
- Company Qcells North America