John Deere Company is seeking a Data Wrangler to join our fast-paced, innovative culture. The successful candidate will be responsible for collecting, organizing, and transforming data from various sources.The ideal candidate will have a background in data mining, data science, or computer programming with the ability to quickly understand and process large amounts of data. They will also have strong analytical and problem-solving skills, with the ability to troubleshoot and identify solutions.This position requires excellent communication and organizational skills, with the ability to accurately interpret data into meaningful insights. A keen eye for detail and the ability to work independently in a fast-paced environment is essential.If you are looking for an opportunity to make a difference in an organization and have the qualifications and experience we are looking for, we invite you to apply for this exciting role.
Sql
And R
Powerbi
Knowledge Of Scripting Languages Such As Python
Experience With Data Analysis Tools Such As Tableau
And Excel
Solid Understanding Of Etl (Extract
Transform
Load) Processes And Data Structures
Ability To Write Complex Queries To Extract Data From Various Sources
Experience Working With Large Datasets And Manipulating Data
Understanding Of Databases Such As Mysql And Postgresql
Sql
Python
Data Analysis
statistical analysis
SAS
Tableau
Excel
Big Data
ETL
R
Machine Learning
Access
Data Visualization
Data Mining
Data Modelling
Communication
Leadership
Time management
Interpersonal Skills
creativity
Organization
collaboration
Adaptability
Problem-Solving
Decision-making
According to JobzMall, the average salary range for a Data Wrangler in Waterloo, IA, USA is $56,000 - $86,000 per year. This range is based on the salaries of Data Wranglers currently employed in the area. It is important to note that salaries can vary depending on experience, education, and other factors.
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John Deere is the brand name of Deere & Company, an American corporation that manufactures agricultural, construction, and forestry machinery, diesel engines, drivetrains used in heavy equipment, and lawn care equipment.

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