Senior Farm Data Analyst - Digital Agriculture Solutions

Placements24; London Borough of Newham; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Health insurance

Professional development budgets

Stock options

Job summary

Placements24 is seeking a Senior Farm Data Analyst to join a remote-first AgTech team. You will collect, clean, and analyze diverse farm datasets, build predictive models, and deliver data-driven recommendations to clients globally.

You will develop dashboards, collaborate with agronomists and developers, and mentor junior analysts while staying current with AI and farming tech advancements. This role offers flexibility and international project exposure.

Qualifications

• 7+ years in data analysis, with substantial agricultural data experience.
• Proficient in Python or R and SQL.
• Experience with visualization tools (Tableau/Power BI/Grafana).
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently in a remote setup.

Responsibilities

• Collect, clean, validate, and transform large agricultural datasets from diverse sources (IoT, GIS, weather).
• Develop predictive models to identify trends, anomalies, and opportunities.
• Translate data findings into actionable recommendations for farm management and agronomy.
• Create dashboards and reports for clients and internal teams.
• Collaborate with developers, agronomists, and client success managers to integrate insights.
• Design data quality QA protocols to ensure reliability.
• Stay updated with data science, ML, agtech advancements, and tooling.
• Contribute to data infrastructure and analytical tool development.
• Provide data-driven support for client projects and strategic planning.
• Mentor junior data analysts and promote a data-centric culture.

Skills

Python

R

SQL

ML/ Predictive Analytics

Data Visualization

Education

Master's in Data Science/Statistics/CS/Agri Science

PhD (preferred)

Tools

Tableau

Power BI

Grafana

Job description

About the Role

Our client, a forward-thinking AgTech company, is building a team of top-tier talent to drive innovation in digital agriculture. We are seeking a highly analytical and experienced Senior Farm Data Analyst to join our fully remote team. This role is integral to harnessing the power of farm data to deliver actionable insights and optimize agricultural operations for our clients globally. You will be responsible for collecting, cleaning, processing, and analyzing vast datasets from various sources, including sensors, machinery, satellite imagery, and farm management systems. The ideal candidate is a meticulous data professional with a strong understanding of agricultural principles and a passion for leveraging technology to solve complex challenges. This is a remote-first position, offering maximum flexibility and the opportunity to work with a diverse, international client base from anywhere.

Key Responsibilities

• Collect, clean, validate, and transform large datasets from diverse agricultural sources (IoT sensors, farm machinery, GIS, weather data, etc.).
• Perform advanced statistical analysis and develop predictive models to identify trends, patterns, and anomalies in farm operations.
• Translate complex data findings into clear, concise, and actionable recommendations for farm management, agronomy, and business strategy.
• Develop and maintain data visualization dashboards and reports to communicate insights effectively to clients and internal teams.
• Collaborate closely with software developers, agronomists, and client success managers to integrate data insights into digital solutions.
• Design and implement data quality assurance protocols to ensure the accuracy and reliability of all analyses.
• Stay current with the latest advancements in data science, machine learning, agricultural technology, and data analysis techniques.
• Contribute to the development of data infrastructure and analytical tools.
• Provide data-driven support for client projects, troubleshooting, and strategic planning.
• Mentor junior data analysts and contribute to a data-centric culture within the organization.

Requirements

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Agricultural Science (with a strong quantitative focus), or a related field.
• Minimum of 7 years of professional experience in data analysis, with a significant portion focused on agricultural data.
• Proven expertise in statistical modeling, machine learning algorithms, and predictive analytics.
• Proficiency in programming languages such as Python or R, and experience with SQL databases.
• Experience with data visualization tools (e.g., Tableau, Power BI, Grafana) and dashboard development.
• Strong understanding of agricultural principles, crop production, and farm operations.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Proven ability to work independently in a remote setting, manage time effectively, and meet deadlines.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.

Benefits

• Our client offers a highly competitive salary package, estimated at R per annum, commensurate with experience.
• Employees benefit from comprehensive health insurance, generous paid time off, professional development budgets, and stock options.