Description

Key Responsibilities:
• Develop advanced analytical models, dashboards, and visualization solutions
• Analyze structured and unstructured data to detect fraud patterns and suspicious activities
• Build and optimize ETL processes, reporting systems, and interactive BI solutions
• Create programming solutions using SQL, Python, R, JavaScript, DAX, and Data Mashup (M)
• Collaborate with business and technical teams to gather requirements and deliver scalable analytics solutions
• Support data governance, data quality, and data access initiatives
• Produce technical documentation, reports, and visualization artifacts
• Troubleshoot and enhance existing analytics applications and reporting solutions
• Participate in site visits, field analysis, and fraud investigation support activities
• Provide guidance on analytical methodologies, data quality, and technical solutions
🔹 Required Experience:
✔ Experience applying analytics techniques to detect fraud in client operations
✔ Strong background in statistical analysis and advanced analytical methodologies
✔ Experience working with relational databases, cloud platforms, and BI technologies
✔ Ability to communicate complex technical findings clearly to stakeholders
✔ Strong written and verbal communication skills
✔ Experience working independently and within cross-functional teams
Required Skills & Technologies:
✅ SQL, Python, R, JavaScript
✅ Data Modeling, Dashboards & Reporting
✅ DAX & Data Mashup (M)
✅ Microsoft Power Platform (Power BI, Power Apps, Power Automate)
✅ AWS or Azure Cloud Services
✅ Databricks, Data Factory & Data Lake
✅ ETL Strategies & Data Analytics
✅ Fraud Detection & Statistical Analysis
✅ Relational Databases & Data Warehousing

Key Skills

Education

Bachelor's degree