Analista de Datos Agrícolas (Enfoque Remoto)

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

About the Role

Our client is seeking a talented and analytical Analista de Datos Agrícolas to join their innovative team. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be instrumental in transforming vast amounts of agricultural data into actionable insights that drive strategic decision-making for our client's diverse agricultural projects across Mexico. The ideal candidate possesses a strong quantitative background, proficiency in data analysis tools and programming languages, and a foundational understanding of agricultural processes. You will work closely with agronomists, researchers, and operations managers to identify trends, build predictive models, and optimize farming practices. This role demands a meticulous approach, excellent problem-solving skills, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. Your work will directly impact crop yields, resource efficiency, and the overall sustainability of our client's operations. We are looking for a proactive individual who thrives in a remote work environment and is passionate about leveraging technology to advance the agricultural sector. This position offers significant growth potential and the opportunity to work on cutting-edge data projects.

Key Responsibilities

• Collect, clean, and process large datasets from various agricultural sources (e.g., sensor data, weather stations, yield monitors, soil samples).
• Perform statistical analysis to identify patterns, correlations, and trends in agricultural data.
• Develop and implement predictive models for crop yield, disease outbreaks, and resource needs.
• Create visualizations and dashboards to effectively communicate data insights to stakeholders.
• Collaborate with cross-functional teams to define data requirements and analytical objectives.
• Design and analyze experiments (e.g., field trials) to evaluate new agricultural technologies and practices.
• Develop algorithms and scripts for data automation and analysis using programming languages like Python or R.
• Monitor key performance indicators (KPIs) related to agricultural operations and provide regular reports.
• Stay abreast of new technologies and methodologies in data science and agricultural analytics.
• Provide recommendations based on data analysis to improve crop management, resource allocation, and operational efficiency.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Agronomy with a strong quantitative focus, or a related field.
• Proven experience as a Data Analyst or similar role, with a strong portfolio of data projects.
• Proficiency in data analysis and statistical modeling techniques.
• Strong programming skills in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with database management (SQL) and data warehousing concepts.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Understanding of basic agricultural principles and terminology is highly desirable.
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex data to diverse audiences.
• Ability to work independently and manage multiple projects effectively in a remote setting.

Benefits

Our client offers a competitive salary and a comprehensive benefits package, including health insurance and a retirement plan. As a remote employee, you benefit from the flexibility and autonomy of working from home. We provide opportunities for continuous professional development, including online courses, certifications, and conference attendance. You will be part of an innovative and supportive team that is leveraging technology to shape the future of agriculture. This role offers a chance to work on impactful projects with a leading company in the agricultural technology space. Enjoy a healthy work-life balance and the convenience of a fully remote setup. We believe in empowering our employees and fostering a collaborative culture.