Data Analyst
Data analysts are responsible for collecting, analyzing and interpreting data for agricultural organizations. They take large sets of data, identify patterns and develop statistical and mathematical models that help businesses make better decisions. Data analysts must be able to convert complex information into easily understandable ways for diverse audiences.
Future Job Market
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Fair
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Good
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Excellent
Typical Employers:
Data analysts work for the government, universities, colleges, food processing facilities, seed companies and any agricultural companies that compile large amounts of data.
Suggested Professional Organizations and Associations:
- American Statistical Association
- Association of Data Scientists
- International Institute of Business Analysis
- Data Science Association
Salary:
$75,000?
SAE Connections:
FFA Connections:
What Responsibilities Will I Have?
- Collect data from multiple sources
- Provide comprehensive analysis on data acquired
- Work with various teams throughout an organization to gather opinions needed to complete projects
- Provide recommendations to organizational leaders based on data collected
- Employ, demonstrate and advocate analytic best practices in the areas of data modeling
- Develop information libraries for staff
- Create complex agricultural data models and analytical tools
- Present information using data visualization techniques
- Understand different statistical tools and methodologies
- Develop presentations and report results clearly and concisely to diverse audiences
- Create processes for data integration and automated data mining
- Assist in the development of studies to test the impact of decisions being considered
- Understand and use different coding and programming computer languages
- Collaborate with production teams to enhance process efficiency
- Ensure that data collection follows consumer privacy laws and regulations
Recommended High School Courses:
- agricultural education
- business
- mathematics
- statistics
- coding
- computer skills
- personal finance
Education/Training Required:
A master’s degree in computer science, data science, mathematics, agricultural engineering or a related field is required. However, some employers may require a doctoral degree.
