Data Analytics Manager - Decision Science

Newport World Resorts; Pasay; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Newport World Resorts seeks a seasoned Analytics professional to provide quantitative methods behind commercial decisions across Newport World Resorts, Westside and Online. You will build predictive and statistical models, design experiments, measure incrementality and maintain segmentation and value frameworks.

You will supervise analysts and ensure reproducible analytical standards to support leadership decisions.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Engineering, or a related quantitative field. Master's degree in a quantitative discipline is preferred.
• 5-8 years of experience in decision science, data science, statistical modelling, marketing analytics, or a related quantitative function, including hands-on experiment design and incrementality measurement.

Responsibilities

• Build and maintain models for player value, churn and reactivation likelihood, response propensity and demand.
• Choose methods that fit the data available and state their limits explicitly.
• Document assumptions, inputs and refresh cycles so models can be rerun by others.
• Retire or rebuild models when their performance decays.
• Design test and control structures for promotions, offers, and operating changes before they are launched.
• Measure incremental effect rather than raw participation, and state the confidence in the result.
• Provide a read that distinguishes a real effect from normal variation.
• Maintain the segmentation and player value frameworks used across gaming, marketing and patron analytics.
• Keep one definition of value in use across the department.
• Refresh segments on an agreed cycle and explain what moved.
• Support the reconciliation of segment definitions with Finance and Marketing.
• Review the methods behind significant departmental analysis before it goes to leadership.
• Challenge conclusions that the data does not support, including the department's own.
• Set practical standards for data handling, sampling, normalisation and presentation of uncertainty.
• Raise the analytical capability of the wider team through review and worked examples.
• Take on short, defined pieces of quantitative and decision-support work requested by commercial or operating leadership, on an agreed scope, deliverable and end date.
• Frame the question, agree what a useful answer looks like, and set the engagement down when the deliverable is handed over.
• Hand findings to the accountable owner with a clear recommendation and the assumptions behind it.
• Decline or re-scope requests that cannot be served within the agreed capacity, and refer them for prioritisation.
• Provide quantitative and hands-on support to move a revenue or cost item forward where a gap in quantitative method coverage has been identified.
• Assemble the numbers, the options, and the supporting material the accountable owner needs to complete the item.
• Stay with the item until it is picked up by its owner or closed, then return to core coverage.
• Raise recurring gaps so that permanent ownership can be assigned rather than repeatedly covered.
• Direct, review, and develop the Analyst - Decision Science.
• Set the standard for reproducible analytical work within the workstream.
• Maintain shared code, definitions, and documentation.
• Develop the associate's grounding in gaming economics.

Skills

Decision science

Data analysis

Experiment design

Segmentation

Modeling

Education

Bachelor's in Statistics / Mathematics / Data Science / CS / Economics

Tools

R

Python

SQL

Job description

JOB SUMMARY

Provide the quantitative methods behind commercial decisions across Newport World Resorts, Westside and Online: predictive and statistical modelling, experiment design, incrementality measurement and segmentation. The position is the methodological check on the department's analysis, monitors the performance of models and measured initiatives, supports scoped commercial engagements where a quantitative answer is needed, and gives ad hoc support where a revenue or cost item needs help to move. It is a method and measurement role; the commercial decisions themselves remain with the operating and commercial owners.

RESPONSIBILITIES

Predictive and Statistical Modelling

• Build and maintain models for player value, churn and reactivation likelihood, response propensity and demand.

• Choose methods that fit the data available and state their limits explicitly.

• Document assumptions, inputs and refresh cycles so models can be rerun by others.

• Retire or rebuild models when their performance decays.

Experiment Design and Incrementality Measurement

• Design test and control structures for promotions, offers, and operating changes before they are launched.

• Measure incremental effect rather than raw participation, and state the confidence in the result.

• Provide a read that distinguishes a real effect from normal variation.

• Build a reusable measurement approach so results are comparable across initiatives.

Segmentation and Player Value Modelling

• Maintain the segmentation and player value frameworks used across gaming, marketing and patron analytics.

• Keep one definition of value in use across the department.

• Refresh segments on an agreed cycle and explain what moved.

• Support the reconciliation of segment definitions with Finance and Marketing.

Analytical Standards and Method Assurance

• Review the methods behind significant departmental analysis before it goes to leadership.

• Challenge conclusions that the data does not support, including the department's own.

• Set practical standards for data handling, sampling, normalisation and presentation of uncertainty.

• Raise the analytical capability of the wider team through review and worked examples.

Scoped Commercial Engagements

• Take on short, defined pieces of quantitative and decision-support work requested by commercial or operating leadership, on an agreed scope, deliverable and end date.

• Frame the question, agree what a useful answer looks like, and set the engagement down when the deliverable is handed over.

• Hand findings to the accountable owner with a clear recommendation and the assumptions behind it.

• Decline or re-scope requests that cannot be served within the agreed capacity, and refer them for prioritisation.

Ad Hoc Execution Support

• Provide quantitative and hands-on support to move a revenue or cost item forward where a gap in quantitative method coverage has been identified.

• Assemble the numbers, the options, and the supporting material the accountable owner needs to complete the item.

• Stay with the item until it is picked up by its owner or closed, then return to core coverage.

• Raise recurring gaps so that permanent ownership can be assigned rather than repeatedly covered.

Analyst Supervision and Capability Development

• Direct, review, and develop the Analyst - Decision Science.

• Set the standard for reproducible analytical work within the workstream.

• Maintain shared code, definitions, and documentation.

• Develop the associate's grounding in gaming economics.

QUALIFICATIONS

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Engineering, or a related quantitative field. Master's degree in a quantitative discipline is preferred.

• 5-8 years of experience in decision science, data science, statistical modelling, marketing analytics, or a related quantitative function, including hands-on experiment design and incrementality measurement.