About the job
Work Setup: Hybrid (3 days per week onsite) | Makati
Work Schedule: Monday to Friday, 8 AM - 5 PM
Qualifications & Experience
Required Qualifications:
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, or a related field.
- A minimum of 7 years of experience in Business Intelligence, data engineering, or analytics, including at least 3 years in a leadership capacity.
Proven Expertise in:
- Managing a modern data stack (including ETL tools, cloud data warehouses such as Snowflake/BigQuery, and BI visualization tools like Power BI/Tableau).
- Data modeling techniques (dimensional modeling, star/snowflake schemas) and proficiency in SQL.
- Leading comprehensive BI project delivery.
- A solid understanding of data governance, data quality, and data security principles.
Preferred Qualifications:
- Certifications in relevant technologies (e.g., Microsoft Certified: Power BI Data Analyst, Tableau Certified Associate, cloud data engineering certifications).
- Experience with advanced analytics, data science concepts, or machine learning.
- Proficiency in programming languages such as Python or R for data manipulation.
Key Responsibilities:
1. BI Strategy & Leadership:
- Develop and implement a comprehensive BI strategy and roadmap aligned with business goals.
- Lead, mentor, and develop 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 creation of enterprise-level reports, dashboards, and self-service analytics tools.
- Collaborate with business leaders (in Sales, Marketing, Finance, Operations) to identify KPIs and analytical requirements.
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.
