Jobs Career Advice Signup
X

Send this job to a friend

X

Did you notice an error or suspect this job is scam? Tell us.

Oops! It seems this job has expired
View current and similar jobs using the button below
    • Vacancies at Corporate Staffing

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

    Data Analyst - Agri

    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.

    Method of Application

    Send your application to

    Build your CV for free. Download in different templates.

  • Send your application

    Back To Home

Subscribe to Job Alert

 

Join our happy subscribers

 
 
Send your application through

GmailGmail YahoomailYahoomail