Data Analysis Senior Specialist

Overview

We are seeking a highly analytical and detail-oriented Data Analysis Senior Specialist to join our Advanced Analyitcs unit. The role focuses on fraud detection analytics, risk pattern identification, and delivering actionable insights that support data-driven decision-making. The successful candidate will work closely with internal teams and external stakeholders to analyze complex datasets, detect anomalies, develop monitoring frameworks, and produce high-quality reports and insights.

This role requires strong analytical thinking, business acumen, and the ability to translate complex data findings into clear, impactful communication.

• Analyze large and complex datasets to identify fraud patterns, anomalies, and risk indicators
• Develop and maintain fraud detection reports, dashboards, and monitoring frameworks
• Support the design and refinement of detection logic, thresholds, and analytical models
• Perform deep-dive investigations on suspicious behaviors and emerging patterns
• Translate analytical findings into clear, structured insights and executive-ready reports
• Collaborate with cross-functional teams to improve detection accuracy and reduce false positives
• Present findings and recommendations to internal stakeholders and external clients
• Contribute to continuous improvement of analytics processes, data quality, and reporting standards

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field

• 4–6 years of experience in data analysis, fraud analytics, risk analytics, or related fields
• Experience working with large datasets in structured environments

• Strong SQL skills (data extraction, aggregation, joins, window functions)
• Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.)
• Proficiency in Excel for analytical tasks
• Experience with Python or R for data analysis is a plus
• Understanding of anomaly detection, risk metrics, or fraud analytics concepts is preferred

• Strong analytical and critical thinking skills
• High attention to detail and data accuracy
• Ability to structure ambiguous problems into measurable analytical approaches
• Strong written and verbal communication skills
• Ability to present technical insights in a clear, business-friendly manner
• Proactive mindset with a continuous improvement attitude