Latam Bi & Analytics Consultant

Dataroles; Xico; Remote; MXN 300,000 - 600,000; Full time

Job summary

Dataroles is seeking a Precision Agriculture and Data Analytics Specialist to join our innovative team. This fully remote role lets you contribute from anywhere in Mexico while driving agriculture toward data-driven decisions using IoT sensors, drones, satellite imagery, and advanced analytics.

You will analyze large datasets, build predictive models, develop dashboards, and collaborate with agronomists and software engineers to deploy scalable data platforms that improve crop yields and

Qualifications

• Bachelor's or Master's degree in a quantitative field related to data or agriculture.
• Proven experience in data analysis, statistical modeling, and ML techniques.
• Proficiency with GIS software.

Responsibilities

• Analyze large datasets from soils, weather, drones, and imagery to identify trends.
• Develop precision agriculture strategies including variable rate applications.
• Use GIS and remote sensing to map fields and monitor crop health.
• Create predictive models for yield, disease, and timing.
• Design data collection protocols and ensure data quality.
• Develop dashboards and reports to visualize findings for clients.
• Provide technical support and training on precision agriculture tech.
• Stay updated on advances in agtech and data science.
• Collaborate with software teams to refine data platforms.
• Advise on integrating precision ag into farming systems, including in regions like State of Mexico.

Skills

Data analysis

Statistical modeling

Machine learning

Data visualization

IoT data interpretation

Remote sensing data

Education

Bachelor's or Master's in Data Science / CS / Agronomy / Agricultural Engineering / Geomatics

Tools

GIS software

Remote sensing tools

Python / R

Job description

About the Role

Our client, a forward-thinking agricultural technology company, is actively seeking a skilled Precision Agriculture and Data Analytics Specialist to join their innovative team. This is a fully remote position, allowing you to contribute from anywhere while impacting agricultural practices across Mexico. The role involves leveraging cutting-edge technologies like IoT sensors, drones, satellite imagery, and data analytics to optimize farming operations, enhance crop yields, and promote sustainable practices. We are looking for a tech-savvy professional with a passion for agriculture, a strong analytical mindset, and the ability to translate complex data into actionable insights for farmers and agricultural businesses. Your expertise will be crucial in guiding our clients towards more efficient and data-driven farming decisions.

Key Responsibilities

• Analyze large datasets from various sources (soil sensors, weather stations, drones, satellite imagery) to identify trends and provide insights.
• Develop and implement precision agriculture strategies, including variable rate application of fertilizers, pesticides, and water.
• Utilize GIS and remote sensing tools to map fields, monitor crop health, and detect potential issues early.
• Create predictive models for crop yield, disease outbreaks, and optimal planting/harvesting times.
• Design and manage data collection protocols and ensure data quality and integrity.
• Develop dashboards and reports to visualize data and communicate findings to clients and internal teams.
• Provide technical support and training on precision agriculture technologies and data interpretation.
• Stay abreast of the latest advancements in agricultural technology, data science, and analytics.
• Collaborate with software developers and agronomists to refine data platforms and tools.
• Advise on the integration of precision agriculture techniques into existing farming systems, even those located in regions like the State of Mexico.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Agronomy, Agricultural Engineering, Geomatics, or a related quantitative field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency with GIS software (e.g