Job description
Approved Remote Locations: Denver, CO, New York, NY, Houston, TX, Los Angeles, CA, and San Diego, CA.
Summary:
Our team is looking for a data analyst, with some data science background. The main responsibilities will be set up ways to pull data from a database, re-organization of the data in a dev server, analyzing the data to find correlation, dependencies and sensitivities between the parameter and performance, visualizing the results and presenting to the team.
Job Responsibilities:
- Test programs or databases, correct errors and make necessary modifications.
- Modify existing databases and database management systems
- Organization of the data for statistical analysis, CPK testing, sensitivity analysis
- Visualizing to identify corner cases in manufacturing/process
Skills:
- Strong database management skills with some statistics/Machine learning background
- Familiarity with display performance or having experience with a manufacturing environment will be a plus
- Strong python/tableau skill set
- Good verbal and written communication
Education/Experience:
- Associate's degree in computer programming or equivalent training required.
- 3+ years of experience in a data scientist/analyst role
Will perform problem solving data analysis and visualization daily
Looking from someone with it good expertise in visualizing data and help drive team in create reports in tableau or other equivalent platform, Require the candidate to demo their previous work on visualization and reports. Must be very good at identify corner cases and familiar with manufacturing statistical analysis like Cpk etc.
Must Have Qualifications:
1. Some industry experience ( > 6 months) of working an an analyst in a manufacturing environment
2. Plot generation and statistical analysis skills in python or tableau or similar
- comparable companies-
Intel
Apple
manufacturing companies (car, semi conductor, ..)
Job Type: Full-time
Pay: $90,000.00 - $110,000.00 per year
Benefits:
- Paid time off
Schedule:
- 8 hour shift
Work Location: Remote
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