Data Analyst

4 weeks ago

Nairobi, Nairobi Area, Kenya Corporate Staffing Services Full time

Our client is a manufacturer of fertilizer and crop health produce. They are seeking to hire a dynamic and experienced Data Analyst

Responsibilities

  • 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.

    Qualifications
    • 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.

      How to Apply

      If you are up to the challenge, possess the necessary qualification and experience; please send your CV only quoting the job title on the email subject (Data Analyst-Agri) to by 8th April 2024

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