Data Operations Analyst (S)

Brigham Young University – Hawaii

9d • $16 - $18

About The Position

This position is for students who have begun gaining relevant experience and are building their skills through internships, part-time jobs, or significant projects. It is typically aimed at sophomores or juniors who have completed a combination of introductory and advanced coursework. The role owns and maintains the organization's measurement architecture end-to-end, including Google Tag Manager (GTM) containers, GA4 event configurations, advertising pixels, and conversion tracking across all digital properties. The analyst monitors data reliability through continuous quality assurance (QA) processes: auditing tracking implementations, validating event firing, identifying data discrepancies, and resolving issues in a timely manner. They will also support BigQuery, Azure Synapse, and Microsoft Fabric data models and reporting datasets, including maintaining pipelines that move data from source systems into analytics and reporting environments. Additionally, the role involves documenting data flows, measurement architecture, KPI logic, and tracking taxonomies so that institutional knowledge is clearly recorded, version-controlled, and accessible to the team.

Requirements

• Hands-on experience with keyword research tools, SEO auditing platforms, and CMS platforms.
• Understanding of technical, on-page, and local SEO fundamentals, including schema markup and Core Web Vitals.
• Familiar with AI search optimization (AEO) practices and the evolving role of AI-driven search.
• Prior experience in travel, tourism, hospitality, attractions, or other guest-focused consumer businesses.
• Able to manage multiple projects and deadlines simultaneously in a cross-functional environment.
• Must attach resume and current semester class schedule (weekly view).

Responsibilities

• Owns and maintains the organization's measurement architecture end-to-end, including Google Tag Manager (GTM) containers, GA4 event configurations, advertising pixels, and conversion tracking across all digital properties.
• Monitors data reliability through continuous quality assurance (QA) processes: auditing tracking implementations, validating event firing, identifying data discrepancies, and resolving issues in a timely manner.
• Supports BigQuery, Azure Synapse, and Microsoft Fabric data models and reporting datasets, including maintaining pipelines that move data from source systems into analytics and reporting environments.
• Documents data flows, measurement architecture, KPI logic, and tracking taxonomies so that institutional knowledge is clearly recorded, version-controlled, and accessible to the team.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Education Level: No Education Listed