Business Intelligence Platform Engineer
Summary
Administers and supports business intelligence platforms (Qlik, MicroStrategy, BusinessObjects, Power BI) on-premises and on AWS — handling deployments, job scheduling, monitoring, performance tuning, and incident/on-call support. Hybrid role in Mandaluyong working US hours (8AM–6PM ET).
Salary: ₱100,000 – ₱120,000 per month
Job Description
Configure, install, administer, operate, upgrade, monitor, sustain, and support existing Business Intelligence (BI) platforms and related infrastructure. Responsible for end-to-end service delivery across BI platforms.
Job Responsibilities
Responsible for swiftly resolving disruptions to technology services to minimize user impact and maintain service levels.
Review the production readiness of technology solutions and application deployments, and coordinate next steps across involved teams.
Oversee and guide analysis of performance trends and ensure proactive actions are taken to prevent potential impacts.
Apply logical reasoning and structured problem-solving techniques to resolve technical issues.
Demonstrate understanding of statistical models for problem analysis and decision support.
Actively support team members and contribute recommendations to improve processes and best practices.
Perform deployments, job scheduling, and platform monitoring activities.
Administer and manage BI platform operations, ensuring stability and availability.
Participate in incident management and on-call rotation support.
Requirements
Minimum 3+ years of relevant experience.
Strong knowledge of Business Intelligence platforms, including Qlik, MicroStrategy, BusinessObjects, and Microsoft Power BI.
Experience managing BI platform operations, including deployments, job scheduling, and monitoring.
Experience with scripting/programming languages such as Python, and automation tools like Terraform and Ansible.
Experience working in on-premises and AWS environments across Linux and Windows operating systems.
Strong understanding of incident management and root cause analysis.
Experience in capacity planning and performance optimization.
Knowledge of code management processes and deployment practices.
Ability to engage cross-functional teams to implement performance tuning and optimization recommendations.
Strong awareness of industry trends and emerging technologies.
Willingness to participate in on-call support rotations.
No. of hours per week: 45 hours
Shift Schedule: US hours, 8AM to 6PM ET
Work Set up: Hybrid 2x a week in Mandaluyong