Senior Officer, Fraud Detection Analyst at Safaricom Kenya

Job Description

Reporting to the Chapter Lead- Fraud Investigations, the role holder will be responsible for analyzing complex data sets, generating insightful reports, and providing actionable recommendations to drive business decisions. This role requires a strong analytical mindset, proficiency in data visualization tools, and the ability to communicate findings effectively to stakeholders.

Job Responsibilities

Data Collection & Management and analysis. 

• Gather, clean, and maintain large datasets from various sources. 
• Ensure data integrity and accuracy through regular audits and validation processes. 
• Analyze trends, patterns, and anomalies in data to identify opportunities for improvement. 
• Utilize statistical methods to interpret data and generate meaningful insights. 

Reporting. 

• Develop and maintain detailed regular reports and dashboards to track key performance indicators (KPIs). 
• Create ad-hoc reports as requested by management or stakeholders. 
• Create reporting templates for statutory reporting e.g CBK, BARC ETC. 
• Can identify opportunities in collaboration with Stakeholders to minimize manual handshakes of data and reports. 
• Ability to design practical automated solutions. 

Data visualization 

• Use data visualization tools (e.g., Tableau, Power BI) to present data in a clear and compelling manner. 
• Design and implement interactive dashboards that facilitate data exploration. 

Customer Obsession 

• Deepen team connection to our customers and communities. 
• Foster authentic relationships with customers and partners that build trust. 
• Explicitly take customer-centric decisions and take personal ownership to achieve results. 
• Simplify processes through digitization and promote a digital mindset and digital first customer experience. 
• Stay focused on the big priorities, know when to make meaningful trade-offs and demonstrate brilliant execution. 

Collaboration 

• Work closely with cross-functional teams to understand their data needs and provide analytical support. 
• Present findings and recommendations to stakeholders in a clear and concise manner. 

Continuous Improvement

• Stay updated on industry trends and best practices in data analytic and reporting. 
• Propose enhancements to existing reporting processes and tools. 

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 
• 2+ years of experience in data analytic or a related field. 
• Proven experience with data visualization tools (e.g., Tableau, Power BI) and statistical software (e.g., R, Python). 
• Strong analytical and problem-solving skills. 
• Proficiency in SQL and data manipulation. 
• Excellent communication skills, both verbal and written.