Business Intelligence Manager (Hybrid) | Makati
At TASQ Staffing Solutions · Makati, Metro Manila, Philippines
- Data and ML
- Full-time
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Where you’ll work
Hybrid, based in Makati
“Makati, Metro Manila, Philippines”
From the location.
“Business Intelligence Manager (Hybrid) | Makati”
From the job title.
Hybrid means some days in the office. The listing says how many, and where.
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- First seen by us
- 9 October 2026
- Last checked
- 15 hours ago
Job description
From TASQ Staffing Solutions’s job post, as they wrote it.
Work Setup: Hybrid (3x / week onsite) | Makati
Work Schedule: Monday to Friday (8am-5pm)
Qualifications & Experience
Required:
* Bachelors 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, BI visualization tools like Power BI/Tableau).
Read the full description
* 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.
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, 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.
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