Job Openings IT Business Intelligence Manager (Hybrid) | Makati

About the job IT Business Intelligence Manager (Hybrid) | Makati

About the job: IT Business Intelligence Manager (Hybrid) | Makati

Work Setup: Hybrid (3x / week onsite) | Makati

Work Schedule: Monday to Friday (8am-5pm)

Responsibilities:

1. BI Strategy & Leadership:

  • Develop and execute a comprehensive BI strategy and roadmap aligned with business objectives.
  • Lead, mentor, and grow a team of BI developers, data analysts, and data engineers.

2. Data Architecture & Engineering:

  • Oversee the design, development, and maintenance of the enterprise data warehouse and data marts.
  • Ensure the reliability, performance, and scalability of the BI infrastructure (ETL/ELT processes, data models).

3. Analytics & Development:

  • Lead the development of enterprise-level reports, dashboards, and self-service analytics tools.
  • Partner with business leaders (e.g., in Sales, Marketing, Finance, and Operations) to identify KPIs and analytical needs.

4. Operations & Project Management:

  • Manage the BI project lifecycle, from requirements gathering to deployment and support.
  • Ensure the BI environment meets SLAs for data refresh, availability, and performance.

Qualifications & Experience

Required:

  • Bachelor's degree in data analytics, computer science, information systems, business, or a related field.
  • 7+ years of experience in business intelligence, data engineering, or analytics, with at least 3 years in a leadership role.

Proven experience in:

  • Managing a modern data stack (e.g., ETL tools, cloud data warehouses like Snowflake/BigQuery, and BI visualization tools like Power BI/Tableau).
  • Data modeling (dimensional modeling, star/snowflake schemas) and SQL.
  • Leading end-to-end BI project delivery.
  • Strong understanding of data governance, data quality, and data security principles.

Preferred:

  • Certifications in relevant technologies (e.g., Microsoft Certified: Power BI Data Analyst, Tableau Certified Associate, cloud data engineering certs).
  • Experience with advanced analytics, data science concepts, or machine learning.
  • Proficiency in a programming language such as Python or R for data manipulation.

Or refer someone