Data Analyst
Skills
About This Role
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.
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