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About the Organisation
ibuQa.io is a dynamic organization committed to transforming trade and improving lives. The company focuses on empowering millions of entrepreneurs across emerging markets with agile, data-driven, and innovative route-to-market solutions. Their mission is to ignite economic growth and foster positive, long-lasting change in underserved communities.
Junior Data Analyst job at ibuQa.io | Apply Now
Nairobi, Kenya
Are you looking for IT jobs in Kenya 2025 today? then you might be interested in Junior Data Analyst job at ibuQa.io
Full Time
Deadline:
31 Jul 2025
Job Title
Junior Data Analyst job at ibuQa.io
ibuQa.io
Job Description
The Junior Data Analyst will be responsible for gathering, cleaning, and analyzing data from multiple sources to generate insights that guide operational and strategic decisions. The role requires basic technical skills in database management, statistical analysis, and data visualization. You will collaborate across departments to understand data requirements, develop dashboards, and automate reporting processes. This role is ideal for early-career professionals with a passion for using data to drive results and improve performance.
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
ONLINE APPLICATION ONLY!
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How to Apply
Collect, clean, and prepare datasets from both internal and external sources for analysis
Conduct basic statistical analysis and interpret results
Maintain and update databases to ensure accuracy and data integrity
Create visual dashboards and regular reports using tools like Excel, Power BI, Tableau, or LookerStudio
Collaborate with teams to gather reporting requirements and provide actionable insights
Identify trends, anomalies, and correlations in data to support business decisions
Assist in automating repetitive data tasks and streamlining reporting workflows
Stay informed on data analysis best practices and recommend process improvements
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related discipline
Proficiency in Microsoft Excel and spreadsheet tools
Basic knowledge of SQL and relational database systems
Familiarity with data visualization platforms such as Power BI, Tableau, or LookerStudio
Advantageous knowledge of Python or R for statistical programming
Strong analytical thinking and attention to detail
Good communication skills, with the ability to explain data insights to non-technical stakeholder


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