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  • Posted: Apr 4, 2024
    Deadline: Apr 10, 2024
  • Never pay for any CBT, test or assessment as part of any recruitment process. When in doubt, contact us

    Corporate Staffing Services is a leading recruitment agency in Kenya providing complete recruitment services. In the last ten years we have been partners to local and foreign businesses looking to hire Kenyan professionals. We have recruited for diverse clients in different sectors and industries.
    Read more about this company


    Data Analyst - Agri


    • Collaborate with the senior management team to identify data needs and objectives for improving business performance.
    • Collect, clean, and pre-process data from various sources, including production systems, sensors, and databases.
    • Develop and implement machine learning models and algorithms to analyse and extract insights from large datasets.
    • Utilize AI and Chabot technology to automate data collection, reporting, and analysis processes.
    • Create visualizations, dashboards, and reports to present findings and key performance indicators to stakeholders.
    • Monitor data quality, identify anomalies, and proactively address data integrity issues.
    • Stay up-to-date with the latest trends and advancements in data analytics, machine learning, and AI technologies.
    • Collaborate with cross-functional teams to integrate data-driven solutions into business processes and decision-making frameworks.
    • Provide training and support to team members on data analysis tools and techniques.


    • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. Master’s degree preferred.
    • Proven experience as a Data Analyst, with a focus on machine learning, AI, and chatbot development.
    • Experience working in FMCG or manufacturing will be desirable.
    • Proficiency in programming languages such as Python, R, SQL, and familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
    • Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.
    • Experience in data visualization tools (e.g., Tableau, Power BI) and dashboard development.
    • Excellent communication and collaboration skills, with the ability to present technical concepts to non-technical stakeholders.
    • Knowledge of manufacturing processes and industry-specific data analysis techniques is a plus.

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