Senior Officer, Fraud Detection analyst

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. 

How to apply

If you feel that you are up to the challenge and possess the necessary qualification and experience, kindly proceed to update your candidate profile on the recruitment portal and then Click on the apply button. Remember to attach your resume.

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We are the leading telecommunication company in East Africa. Our purpose is to transform lives by connecting people to people, people to opportunities and people to information. We keep over 42 million customers connected and play a critical role in the society, supporting over one million jobs both directly and indirectly while our total economic value was estimated at KES 362 Billion ($ 3.2 billion) for the 12 months through March 2021. We are listed on the Nairobi Securities Exchange (NSE) and with annual revenues of close to KES 298 Billion ($2.5 billion) as at March 2022. We were founded in 1997 as a fully owned subsidiary of Telkom Kenya before a 40 percent acquisition by Vodafone Group PLC in May 2000, and a public offering of 25 percent shares through the NSE in 2008. Under the management of Vodafone Group PLC, we welcomed Michael Joseph, as our first CEO, a few months later in July of 2000. He led the company’s growth to accommodate 16.71 million subscribers from the previous 20,000, largely owing to innovative products like M-PESA in 2007.