Analista de Datos Agrícolas Remoto y Predictivo

Placements24; Aguascalientes; Hybrid; MXN 360,000 - 700,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Remote work

Professional development

Online courses

Job summary

Placements24 is seeking a talented Agricultural Data Analyst to join its innovative team in a fully remote role. You will transform large agricultural datasets into actionable insights that drive strategic decisions for diverse projects across Mexico.

You will work with agronomists and operations managers, build predictive models, create dashboards, and communicate complex findings to technical and non-technical stakeholders.

Qualifications

• Bachelor's or Master's in data/CS/agri-related field.
• Proven data analytics experience with a project portfolio.
• Experience with Python or R, SQL, and data visualization tools.

Responsibilities

• Collect, clean, and process large agricultural datasets.
• Perform statistical analysis to identify patterns and trends.
• Develop predictive models for crop yield and resources.
• Create dashboards to communicate insights to stakeholders.
• Collaborate with cross-functional teams on data needs.
• Design experiments to evaluate new agri technologies.
• Develop data automation scripts in Python or R.
• Monitor KPIs and provide regular reports.
• Stay updated on new data science methods.
• Provide data-driven recommendations for crop management.

Skills

Analytical thinking

Statistical analysis

Data-driven mindset

Problem solving

Education

Data Science degree

Statistics degree

Agronomy background

Tools

Python

R

SQL

Tableau

Power BI

Job description

Placements24 is seeking a talented Agricultural Data Analyst to join its innovative team in a fully remote role. You will transform large agricultural datasets into actionable insights that drive strategic decisions for diverse projects across Mexico.

You will work with agronomists and operations managers, build predictive models, create dashboards, and communicate complex findings to technical and non-technical stakeholders.