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Urgent! Data Analyst-(Agriculture) at Bridge Talent Management Job Opening In Kenya, Kenya – Now Hiring Confidential

Data Analyst (Agriculture) at Bridge Talent Management



Job description

Job Description

We are seeking a detail-oriented and analytical Data Analyst to support data-driven decision-making across our horticulture operations.

The ideal candidate will gather, process, and analyze data related to crop performance, weather, soil conditions, resource usage, and sales, helping to optimize productivity, reduce waste, and improve profitability on the farm.


Key responsibilities

  • Collect, clean, and organize data from field operations, greenhouse sensors, weather stations, and farm management systems.

  • Analyze crop yields, plant health, and input usage (e.g. water, fertilizer, pesticides) to recommend process improvements.

  • Monitor and model environmental factors (temperature, humidity, soil data) to support irrigation and fertigation schedules.

  • Track pest and disease occurrences to identify trends and support preventive strategies.

  • Analyze sales data, market prices, and customer trends to assist with production planning and pricing.

  • Develop dashboards and reports to present insights to farm managers, agronomists, and other stakeholders.

  • Collaborate with farm teams to implement data collection tools and ensure high data quality.

  • Assist in forecasting yields and supply chain planning using historical and real-time data.
  • Requirements


    Qualifications:

  • Bachelor’s degree in Data Science, Agriculture, Statistics, Environmental Science, or a related field.

  • 2+ years of experience in data analysis, preferably in agriculture or horticulture.

  • Strong proficiency in Excel, SQL, and data visualization tools (Power BI, Tableau, etc.).

  • Experience with Python or R is a plus.

  • Familiarity with agricultural technology, farm management software, or IoT sensor data is an advantage.

  • Excellent problem-solving, critical thinking, and communication skills.

  • Required Skill Profession

    Mathematical Science Occupations



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