Business Intelligence System Specialist

17 hours ago


Cagayan de Oro, Northern Mindanao, Philippines beBeeDataOperations Full time ₱18,000 - ₱38,000

A Data Operations Analyst is responsible for ensuring the reliability and accuracy of data flows across business systems integrations. This role requires a blend of technical execution, critical analysis, and operational vigilance to keep business processes running smoothly and securely.

Key Responsibilities
  • Integration Monitoring & Maintenance: Oversee the reliability and health of business systems integrations, identifying and resolving issues promptly.
  • Integration Implementation & QA: Implement new features and integrations with quality assurance plans in place.
  • Troubleshooting & Issue Resolution: Investigate and resolve operational issues, collaborating with technical teams and operations teams.
  • Data Procurement & Transmission: Manage SQL-based procurement and movement of critical data flows.
  • Operational Analysis: Analyze system performance and data flows to detect anomalies, misalignments, inefficiencies, or opportunities for improvement.
  • Documentation: Maintain high standards of documentation to safeguard and future-proof operational processes.
  • Administrative Tasks: Perform data entry and cleaning tasks as required to fix, deploy, or maintain integrations, including bulk updates.
  • Customer & Stakeholder Engagement: Provide exceptional service and proactive communication to internal stakeholders and team members, building strong relationships and collaboration.
Requirements
  • SQL Fluency: Ability to turn complex data manipulation steps into efficient, comprehensible, and resilient code, including reverse-engineering existing code as needed.
  • System Integrations: Familiarity with business systems integrations, data modeling, data pipelines, and concepts such as APIs and ETL.
  • Analytical Mindset: Ability to critically assess operational data flows, investigate anomalies, and identify root causes of system issues.
  • Attention to Detail: Proven ability to ensure data accuracy and reliability, with high sensitivity to edge cases and precision tasks such as mass updates.
  • Problem-Solving Skills: Ability to approach challenges with innovation and resilience, consistently delivering effective solutions.
  • Adaptability: Capacity to rapidly understand new business contexts and independently identify next actions with minimal direction.
  • Communication Skills: Strong ability to translate operational needs into actionable tasks and communicate effectively with both technical and business stakeholders.


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