Corporate Staffing Data Analyst Job

Industry: Agriculture,

Location: Nairobi,

Gross Salary: Competitive,

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.
  • 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

Click To Apply

Apply  by 1st April 2024