Analytics Specialist (GA4, GTM, SQL & Google BigQuery)

Client: Australia's leading audio entertainment company, home of LiSTNR, and the Triple M & Hit Networks

About the role

As the client continues to develop its best-in-class audio platform, data is becoming an increasingly valuable asset within the business. As such, the integrity, accuracy, and usability of this data are of the utmost importance.

We are seeking an Analytics Specialist to support the accuracy, consistency, and quality of analytics across our digital platforms. This role combines business analysis, analytics implementation, and quality assurance, working closely with product, engineering, and data teams to maintain reliable tracking and reporting while establishing and upholding strong analytics best practices.

Key Responsibilities

• Document analytics tracking requirements, events, and parameters for web and mobile apps
• Test and validate analytics tracking in development, staging, and production environments
• Use SQL in Google BigQuery to validate event data and support analytics unit testing
• Identify tracking issues, data gaps, and inconsistencies, and escalate them to the relevant teams
• Support analytics implementations in GA4 and Google Tag Manager
• Run regression testing after product or tracking changes to keep tracking consistent across releases and platforms
• Work closely with senior analysts, engineers, and product teams to improve data quality
• Partner with the Data team to ensure the data layer is well-defined, accurate, and aligned with downstream segmentation and reporting needs

Specific Attributes, Skills, Qualifications & Experience

Essentials

• Experience in analytics, digital, product, or technology roles
• Exposure to Google Analytics 4 (GA4) and Google Tag Manager (GTM)
• SQL skills with experience or exposure to querying data in Google BigQuery, particularly for testing and validation
• Strong attention to detail and a methodical approach to testing
• Comfortable working in Agile environments (e.g. Jira, Confluence)
• Good written and verbal communication skills

Nice to have

• Experience with mobile app analytics (e.g. Firebase).
• Exposure to Salesforce, Looker Studio, or other analytics/MarTech tools.
• Understanding of UX/UI principles and digital user journeys.
• Experience working with event‑based analytics or tracking plans.

Company Attributes - genuinely live and breathe these Values:

• We're Better Together
• People are our Power
• Always Curious
• We Push Doors Open
• Be Genuine

Communication

• Participate in regular performance and development Upload conversations with

1. your Manager

• Communicate in a respectful, professional, and collaborative manner with
• teammates, cross-functional teams, and stakeholders internal and external to client.

OHS/EEO

• Contribute to a safe and healthy working environment by adhering to OHS & EEO standards and principles
• Maintain professional and ethical behaviour
• Ensure a safe workplace by reporting any hazards or potential dangers via the prescribed incident reporting methods

Skills and Work Ethic

Collaboration - Works well with others, contributes positively in a team environment, communicates clearly, and is open to feedback and learning.

Analytical Thinking - Uses data to identify issues or inconsistencies, breaks problems into smaller parts, and applies logical thinking to reach practical conclusions.

Communication - Communicates clearly in both written and verbal formats, adapting style for technical and non‑technical audiences.

Ownership & Initiative - Takes responsibility for assigned tasks, follows them through to completion, and knows when to ask questions or escalate issues.

Technical Skills - Applies developing technical knowledge to support analytics implementation, testing, and validation, and continues to build skills through hands‑on learning.

Documentation - Produces clear, accurate documentation that supports analysts, developers, and other stakeholders.

Learning & Development – Collaborate closely with senior analysts and engineers to deepen analytics expertise through shared best practices, tools, and data quality processes, while progressively taking on greater ownership and responsibility.

Work Details

• Shift: Monday to Friday: 6:00am- 3:00pm or 7:00am- 4:00pm PH Time; depending on business needs
• Location: Makati | *Work from Home Until Further Notice
• Status: Full time employment