Remote Agricultural Data Analyst: Predictive Insights

Placements24; Newlands; Hybrid; AUD 85,000 - 120,000; Full time

Benefits offered by this job

Remote work flexibility

Health insurance

Paid time off

Flexible working hours

Home office setup allowance

Professional development

Job summary

Placements24 is seeking a Remote Agricultural Data Analyst to collect, clean, and analyze large agricultural datasets across crops, weather, soil, and market trends. You will drive strategic decisions to optimize farming practices from anywhere in Australia.

The role includes building predictive models, developing dashboards, and delivering insights to stakeholders to improve crop management and resource allocation while working independently in a fully remote setting.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science, or a related quantitative field.
• Proven experience as a Data Analyst with a strong focus on agricultural data or a related sector.
• Proficiency in Python (Pandas, NumPy), R, and SQL.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent analytical and communication skills, comfortable working independently in a remote setting.

Responsibilities

• Collect, aggregate, and manage diverse agricultural datasets from various sources.
• Perform data cleaning, transformation, and validation to ensure accuracy.
• Develop machine learning models for predictive analytics.
• Visualize data through dashboards and reports to communicate trends to stakeholders.
• Provide data-driven recommendations to improve crop management and efficiency.

Skills

Python

R

SQL

Data analysis

Education

Bachelor's degree in Data Science/Statistics/Agricultural Science

Tools

Tableau

Power BI

Job description

Placements24 is seeking a Remote Agricultural Data Analyst to collect, clean, and analyze large agricultural datasets across crops, weather, soil, and market trends. You will drive strategic decisions to optimize farming practices from anywhere in Australia.

The role includes building predictive models, developing dashboards, and delivering insights to stakeholders to improve crop management and resource allocation while working independently in a fully remote setting.