Data Analyst

Incobrasa Industries • Gilman, IL

2h • $25 - $35

About The Position

As a Data Analyst within the Agriculture industry, you will play a pivotal role in transforming raw data into actionable insights that drive strategic decision-making and operational efficiency. Your work will involve collecting, cleaning, and analyzing complex datasets related to agricultural production, resource management, and environmental factors. By leveraging advanced analytical tools and visualization techniques, you will help identify trends, forecast outcomes, and support sustainable practices within the sector. Collaboration with cross-functional teams will be essential to ensure data-driven solutions align with organizational goals and industry standards. Ultimately, your contributions will enhance the understanding of agricultural data, enabling better resource allocation and improved productivity across the industry.

Requirements

• Bachelor’s degree in Data Science, Statistics, Agriculture, Environmental Science, or a related field.
• Proven experience in data cleaning, data extraction, and data analysis within a professional setting.
• Strong skills in creating pivot tables and using data visualization tools.
• Excellent analytical thinking and problem-solving abilities with attention to detail.

Nice To Haves

• Bachelor’s degree in a relevant discipline or equivalent practical experience.
• Experience working specifically within the Agriculture industry.
• Familiarity with advanced data modeling techniques and machine learning applications.
• Knowledge of database management systems and SQL querying.
• Strong communication skills with experience presenting complex data insights to non-technical audiences.

Responsibilities

• Collect, clean, and validate large datasets from various sources to ensure data accuracy and integrity.
• Develop and maintain pivot tables and other data summarization tools to facilitate quick insights and reporting.
• Extract relevant data from databases and external sources to support ongoing research and operational projects.
• Monitor data quality and implement data cleansing processes to maintain high standards of data reliability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level