Senior Analytics Engineer & Data Modeling Lead

Newport World Resorts; Pasay; On-site; PHP 3,500,000 - 6,200,000; Full time

Job summary

Newport World Resorts is seeking a Lead Analytics Engineer to steer data modelling initiatives across its Casino Marketing, Membership, CX, DPP, and Finance teams. You will define the data model strategy, own the Silver/Gold layers, and drive governance and testing standards across the platform.

You will lead the Analytics and Data Engineering team, delivering sound models, reusable metrics, and robust CI/CD practices while ensuring data quality and cross-property consistency.

Qualifications

• Bachelor's degree in a relevant field.
• 7+ years in analytics/data/BI with data modeling experience.
• Proven ability to translate business questions into data models.
• Experience leading a technical team and setting engineering standards.
• Hands-on with cloud data warehouses and dbt or similar tools.
• Familiarity with Git, CI/CD and governance practices.
• Experience with gaming/hospitality/retail or loyalty data is aPlus.
• Advanced SQL and dimensional modeling skills.
• Knowledge of Snowflake governance and access controls.

Responsibilities

• Be the primary point of contact for data modelling requirements from business teams.
• Design and own Silver and Gold data models across properties.
• Lead dbt standards, code reviews and testing approaches.
• Ensure data quality, lineage and governance across the platform.
• Mentor and manage the Analytics and Data Engineering team.
• Collaborate with platform teams on CI/CD and deployment workflows.

Skills

Leadership

Stakeholder engagement

Advanced SQL

Data modeling

Analytics engineering

Education

Bachelor's degree in CS/IS/Engineering/Math/Stats

Tools

Snowflake

dbt

Python

Job description

Newport World Resorts is seeking a Lead Analytics Engineer to steer data modelling initiatives across its Casino Marketing, Membership, CX, DPP, and Finance teams. You will define the data model strategy, own the Silver/Gold layers, and drive governance and testing standards across the platform.

You will lead the Analytics and Data Engineering team, delivering sound models, reusable metrics, and robust CI/CD practices while ensuring data quality and cross-property consistency.