Remote Agricultural Data Analyst

Placements24; Willows (CA); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive pay and bonuses

Remote work setup

Job summary

Placements24 is seeking a highly analytical Remote Agricultural Data Analyst to turn diverse agricultural data into actionable insights. You will apply Python, SQL, and modern visualization tools to improve crop yields, resource use, and farm efficiency.

This fully remote role supports operations across multiple agricultural ventures. You will collect and clean large datasets, build models, and present dashboards, driving data-driven decisions.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science, Computer Science, or related quantitative field.
• Proven experience as a Data Analyst, preferably in agriculture.
• Strong Python (Pandas, NumPy, Scikit-learn) and SQL skills.
• Experience with data warehousing concepts and dashboards.

Responsibilities

• Collect, clean, and process large agricultural datasets from sensors, yield maps, and weather data.
• Develop statistical models and ML algorithms to identify trends and correlations.
• Create dashboards and reports to communicate findings to stakeholders.
• Provide data-driven recommendations for optimizing planting, irrigation, and harvesting.
• Collaborate with agronomists, farm managers, and software developers to operationalize insights.

Skills

Python

SQL

Data visualization

Education

Bachelor's or Master's in data science or related field

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and motivated Remote Agricultural Data Analyst to join their innovative team, supporting operations across various agricultural ventures. This role is designed for a data expert who can translate complex agricultural data into actionable insights, driving strategic decision-making and operational improvements. You will leverage advanced analytics, machine learning, and data visualization tools to enhance crop yields, optimize resource usage, and improve overall farm efficiency. This fully remote position offers the flexibility to work from anywhere, contributing to the future of sustainable and data-driven agriculture.

Key Responsibilities

• Collect, clean, and process large datasets from various agricultural sources (e.g., sensor data, yield maps, weather data).
• Develop and implement statistical models and machine learning algorithms to identify trends, patterns, and correlations.
• Create insightful data visualizations, dashboards, and reports to communicate findings to stakeholders.
• Provide data-driven recommendations for optimizing planting, irrigation, fertilization, and harvesting strategies.
• Collaborate with agronomists, farm managers, and software developers to integrate data insights into operational systems.
• Monitor key performance indicators (KPIs) and provide regular performance analysis.
• Stay current with advancements in agricultural technology and data analytics methodologies.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, preferably within the agricultural sector.
• Strong proficiency in data analysis tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) or R.
• Experience with database management (SQL) and data warehousing concepts.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Solid understanding of agricultural principles and challenges is highly advantageous.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive remote work setup and technology support.
• Flexible working hours and complete autonomy.
• Generous paid time off and company holidays.
• Opportunities for professional development and attending industry conferences.
• Be at the forefront of agricultural technology innovation.