GENERAL FUNCTION
The Business Intelligence & Fraud Analytics Senior Supervisor is responsible for database management, data processing, business intelligence (BI), reporting, analytics, and process automation to support management and operational decision-making.
This role develops and maintains reliable data sources, dashboards, reports, queries, and automated solutions for key stakeholders across Sales, Marketing, Operations, and Fraud Analytics. Additionally, the role provides essential data and analytical support to Fraud Analytics to enhance daily audits, fraud monitoring, and control effectiveness, while continuously driving opportunities to automate repetitive and data-intensive tasks.
Duties and Responsibilities
1. Department Operations & Coordination
- Prioritization: Translate departmental objectives into actionable daily, weekly, monthly, and project-based priorities.
- Workload Coordination: Coordinate workload and deliverables across the Business Intelligence and Fraud Analytics teams.
- Delivery & Quality Assurance: Ensure reports, analyses, automation initiatives, audits, investigations, and other deliverables meet agreed-upon timelines and quality standards.
- Resource Management: Resolve resource and priority conflicts between sub-teams.
- Cross-Functional Collaboration: Facilitate smooth coordination between BI and Fraud when requirements cross functional boundaries.
- Risk Escalation: Escalate significant risks, recurring issues, control weaknesses, and material analytical findings to the Manager.
- Expected Outcome: Both sub-teams operate as a unified, coordinated department while maintaining clear functional ownership and accountability.
2. Business Intelligence Oversight
- Strategic Focus: Establish and monitor priorities for database management, reporting, analytics, and automation.
- Analytical Review: Review significant BI analyses and strategic recommendations prior to management submission.
- Governance & Control: Ensure recurring reports and dashboards have designated owners, validation controls, delivery schedules, and proper access governance.
- Process Automation: Ensure BI actively identifies and prioritizes repetitive manual activities for automation based on business value, operational risk, urgency, and resource availability.
- Expected Outcome: BI resources are directed toward reliable data, actionable analytics, and automation initiatives that deliver measurable business value.
3. Fraud Analytics Oversight
- Performance Monitoring: Monitor overall fraud-operational performance, including daily audits, investigations, case ageing, service levels, and enterprise access-control activities.
- Issue Escalation & Review: Review complex fraud matters escalated by the Fraud Analytics Lead and ensure material fraud trends, access-control weaknesses, and recurring issues are escalated to the Manager.
- Analytical Integration: Ensure operational fraud issues requiring deeper data analysis are appropriately referred to the Business Intelligence team.
- Control Enhancement: Review and champion recommendations for improvements to fraud controls and operational procedures.
- Expected Outcome: Fraud operations remain effective, timely, well-controlled, and supported by robust analytical capabilities.
4. Quality Assurance & Process Improvement
- Standards & Accuracy: Establish quality-control standards ensuring analytical conclusions are supported by reliable data and fraud conclusions are backed by adequate evidence.
- KPI & SLA Tracking: Monitor departmental KPIs, SLA performance, recurring errors, and unresolved issues.
- Root-Cause Analysis: Lead root-cause analysis and corrective-action initiatives to address recurring deficiencies.
- Documentation: Keep departmental procedures, workflows, responsibilities, and escalation protocols fully documented and up to date.
- Expected Outcome: Departmental outputs are accurate, defensible, and consistently delivered with reduced errors and minimal rework.
5. People & Performance Management
- Team Guidance: Monitor individual and team performance, provide regular feedback, and oversee workload distribution.
- Capability Building: Coordinate training, cross-training, and continuous professional development opportunities.
- Culture & Collaboration: Promote knowledge sharing between BI and Fraud while maintaining clear role boundaries.
- Leadership Delegation: Assume departmental leadership responsibilities when delegated or in the Manager's absence.
- Expected Outcome: Employees understand expectations, receive proper supervision, and possess the capabilities needed to perform their responsibilities effectively.
Qualifications and Requirements
- Education: Relevant Bachelor's degree or equivalent professional experience in Business Analytics, Information Systems, Data Analytics, Finance, Fraud, Risk Management, or a related discipline.
- Experience: Proven experience in analytics, database management, fraud operations, or related functional areas.
- Leadership: Demonstrated supervisory, lead, or team-coordination capability.
- Technical Skills: Strong working knowledge of SQL, Microsoft Excel, and analytical/reporting tools (e.g., Tableau, Power BI, or equivalent platforms).
- Domain Knowledge: Solid understanding of operational controls and fraud-risk principles.
- Core Competencies:
- Strong numerical, analytical, and problem-solving skills.
- Excellent organizational and project-prioritization skills.
- Effective communication and stakeholder-management skills with the ability to coordinate across diverse teams.
- Flexibility: 24/7 shifting schedules (Morning/ Afternoon/ Night)
Personal Attributes
- Integrity & Trust: High personal integrity, discretion, and a strong sense of confidentiality.
- Mindset: Critical and analytical thinker with a proactive, resourceful approach to problem-solving.
- Execution: Highly organized, detail-oriented, with a strong sense of accountability and urgency.
- Interpersonal Skills: Diplomatic, tactful, and an effective communicator and people manager.
- Resilience: Able to work effectively and maintain composure under pressure.
Job Type: Full-time
Pay: Php42,500.00 - Php50,000.00 per month
Work Location: In person
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