Corporate Staffing Data Analyst Job
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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
Apply by 1st April 2024
Categories: IT Jobs In Kenya
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