Data Analyst

The Data Analyst is responsible for analyzing large datasets, identifying trends and anomalies, and generating data-driven insights to support investigations, risk assessment, compliance, and business decision-making. The role focuses on data validation, reporting, dashboard development, and supporting fraud detection and operational improvement initiatives through advanced analytics techniques.

Responsibilities:

• Analyze financial and operational data to identify trends, anomalies, and irregularities.
• Develop dashboards and reports using Excel, SQL, and Power BI to support data-driven decision-making.
• Perform data validation, cleansing, and quality checks to ensure accuracy and reliability of information.
• Conduct analytical reviews of transactions, system logs, and operational records.
• Support investigations and internal audit activities through data analysis and reporting.
• Monitor data patterns and provide insights related to operational risks and control gaps.
• Collaborate with Internal Audit, IT, Finance, HR, and Operations teams to gather and validate data.
• Prepare structured analytical reports and presentations for management review.
• Support automation and continuous monitoring initiatives to improve reporting efficiency.
• Ensure compliance with data confidentiality, governance, and information security requirements.

Qualifications:

• Bachelor’s degree in Data Science, Information Technology, Computer Science, Accounting, Business Analytics, or related field.
• 3–5 years of experience in data analysis, business intelligence, reporting, or analytics-related roles.

Required Skills:

• Strong proficiency in Excel, SQL, and Power BI.
• Knowledge of data visualization, reporting tools, and data analytics techniques.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to interpret complex datasets and provide actionable insights.
• Experience in internal audit, risk, or fraud analytics is an advantage.
• Strong communication and reporting skills.