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.