Data Analyst at Stima Sacco

• Lead and execute end-to-end data analysis by collecting, cleaning, and analyzing large datasets to generate actionable insights that support strategic and operational decision-making.
• Design and implement statistical, predictive, and data mining models to enhance business performance, forecasting, and risk management.
• Develop and maintain dashboards, reports, and data visualization tools to present complex data in a clear and user-friendly manner for stakeholders.
• Collaborate with business units, data owners, and ICT teams to define data requirements, integrate insights into systems, and support data-driven initiatives.
• Ensure data integrity, quality, and governance by implementing appropriate controls, validation processes, and best practices in data management.
• Drive innovation by identifying new data sources, improving analytical methods, and recommending tools, technologies, and process enhancements.
• Monitor and optimize data systems and analytical processes to improve efficiency, accuracy, and performance.

• Bachelor’s Degree in Statistics, Mathematics, or a related field
• Minimum of six (6) years’ relevant experience
• Strong mathematical and analytical skills
• Proficiency in programming languages such as SQL, Oracle, R, Python, MATLAB
• Knowledge of database design, data mining techniques, and data modeling
• Experience with reporting tools (e.g., Business Objects) and ETL frameworks
• Proficiency in statistical tools such as Excel, SPSS, and SAS
• Familiarity with data platforms such as Hadoop and Apache Spark
• Knowledge of data visualization tools such as Tableau and Qlik
• Strong problem-solving skills and attention to detail
• Ability to write queries, reports, and make presentations
• Excellent verbal and written communication skills
• Strong teamwork and collaboration skills

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