Zeraki
Zeraki is currently recruiting for a Full Time Job position based in Nairobi. This opportunity is open to qualified candidates looking to grow in the Job sector in Kenya. Review the full requirements below and apply before the deadline.
📋 Job Overview
- Category: Not specified
- Job Type: Full Time Jobs
- Location: Nairobi
- Company: Zeraki
- Application Deadline: Rolling basis
- Last Updated: September 24, 2023
Data Analyst Job at Zeraki – Zeraki Kenya Job Details
Responsibilities:
– Data Analysis and Insight Generation:
– Conduct comprehensive data analysis to identify trends, patterns, and insights that can influence business decisions and drive operational efficiency.
– Develop hypotheses and design experiments to test them, leveraging statistical methods to draw conclusions.
– Analytic Systems Development:
– Develop, implement, and optimize analytic systems and data analysis tools to ensure the availability and reliability of data-driven insights.
– Proactively identify opportunities for leveraging company data to create business solutions.
– Data Visualization and Reporting:
– Transform complex datasets into intuitive and meaningful visualizations, dashboards, and reports to facilitate understanding of key insights and findings.
– Business Collaboration and Communication:
– Clearly and effectively communicate complex data findings in a simple, actionable manner to non-technical stakeholders, ensuring alignment of data-driven insights with business objectives.
Qualifications:
Technical Skills:
– Proficiency in SQL for data querying and Python/R for data analysis and modeling.
– Experience with data visualization tools such as Tableau or PowerBI.
– Analytical and Problem-Solving Skills:
– Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
– Basic understanding of statistical analysis, machine learning, and data science techniques to solve real-world problems.
– Communication and Business Acumen:
– Exceptional communication skills with the ability to present complex data in a clear and concise manner to a non-technical audience.
– Educational and Professional Background:
– Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related field.
– 2 – 4 years of experience in a relevant role is preferred.
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