AS White Global Data Analyst

Data Analyst

AS White Global

Negotiable

Remote3-5 Yrs ExpBachelorFull-time

Remote Details

Open Country：Philippines

Language Requirements：English

This remote job is open to candidates in specific countries. Please confirm if you want to continue despite potential location restrictions

Job Description

Description

Position Description

Position Title : Data Analyst

Primary Location : Flexible

Employment Type : Full-time contract

Employer: URBNSURF Pty Ltd ( Company )

Reports to : Head of Customer Technology

Education/Qualifications: Tertiary Qualifications in Data Analytics , Computer Science, or equivalent experience

Experience: Minimum 2 years in a similar data analyst role

PURPOSE

The Data Analyst at URBNSURF leads the development of data models, interactive reporting dashboards and insights to support operational and financial business leaders . This role is responsible for interpretating the business ’ data requirements and transforming the raw data into actionable insights .

ORGANISATION CONTEXT

The URNSURF Mission is to build and operate world-class surf parks in Australia that deliver high quality man-made waves and authentic surfing experiences to new and existing surfers of all ages, experience and ability.

Our strategic intent is to be commercially successful in doing so and be seen as the market leader in the creation of an authentic surf experiences while delivering outstanding returns for shareholders.

Within this context, the Data Analyst will play a vital role by delivering all data and insights to underpin the financial and commercial business direction for the expansion of URBNSURF systems and data management.

Principle Accountabilities

The following aspects of this role are indicative only and in no way limit the Company in allocating additional accountabilities (specific tasks, projects or related activities) to the employee, within the scope of the employee ’ s level of competence, experience, knowledge and qualification .

Data Engineering and Modelling

Develop, maintain, and optimise data models, datasets, and ETL processes using PySpark Notebooks in Microsoft Fabric Lakehouse and Power BI.
Build and maintain semantic models that support standardised reporting.
Design and publish interactive dashboards and paginated reports that provide visibility into key business metrics.
Use DAX and Power Query to create calculated measures, columns, and data transformations that power key business logic and visualisations.
Collaborate with and provide direction to the data engineer to ensure the underlying lakehouse architecture supports reporting needs, including data models, refresh cadences, and data transformations.
Translate analytical and business requirements into clear data engineering tasks, participating in sprint planning or backlog refinement as needed.

Data Analysis

Conduct deep-dive analyses on customer behaviour, operational performance, and commercial outcomes.
Track and interpret key metrics such as customer retention, visit frequency, revenue, and session occupancy.
Identify trends, anomalies, and performance drivers through structured analysis and visualisation.
Apply segmentation, cohort analysis, and forecasting to support strategic initiatives.
Build and maintain financial models to support budgeting, forecasting, and scenario analysis for commercial and operational planning.
Deliver all data requirements for CDP, CRM, Google Analytics and customer attribution systems .

Stakeholder Communication & Storytelling

Partner with teams across marketing, operations, and leadership to understand business needs and develop detailed requirements.
Present data-driven findings to non-technical stakeholders using clear visual storytelling in Power BI and PowerPoint.
Design and create structured reports for regular business meetings, such as customer engagement reviews and commercial reviews.
Lead business meetings with cross-functional stakeholders to align on insights, drive decisions, and establish next steps.
Act as a data translator—bridging the gap between technical outputs and commercial priorities.

Skills & Abilities

Demonstratable experience with M S PowerBI, data lakehouses such as MS Fabric (or similar), including Data Lakes and Delta Tables
Strong skills in Notebooks and ETL tools
Strong understanding of the end-to-end Data & Insights lifecycle
Proven e xperience in m anag ing competing priorities and workload across ad-hoc data requests, strategic reporting, and longer-term analytical projects.
Strong communication skills and the ability to engage effectively with business stakeholders
Experience in ticketing, retail or startup businesses is desirable, but not essential

PERSONAL ATTRIBUTES

A high degree of energy, determination, self-motivation and enthusiasm
Demonstrated ability to operate independently with little to no supervision, to set priorities, and to produce high quality outcomes within predefined deadlines
P ersonal accountability taken for actions and outcomes
A flexible and adaptable personality that can cope with, and respond to, rapid change and growth.

KEY RELATIONSHIPS

Internal

Contact Position

Nature of interaction

Frequency

Head of Customer Technology

Senior Line Manager

Daily

Data Engineer

Close collaboration on data source requirements, building pipelines, ETL

Daily

Database Executive

Management of central ticketing system and data integration into reporting/analysis

Daily

USG – C-Suite, Finance, Marketing, Commercial and Customer Growth

Scope and delivery of reporting for business strategy and financial reconciliation

Weekly

Head of Marketing and Head of Customer Strategy

Data insights for CDP, attribution and Google Analytics

Weekly

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