Senior Data Analytics Engineer – Hospitality Tech

📋 Description

• Design and develop a multi-tier SaaS reporting architecture to cater to various client levels and brand campaign needs.

• Spearhead the GA4 and Google Tag Manager strategy, supervising implementation, quality assurance, and establishing event tracking standards for QR scans, lead captures, and promotional engagement.

• Architect and oversee GA4 data exports into BigQuery, creating robust models that merge event data with account, venue, and subscription datasets.

• Consolidate data from various sources such as Sanity CMS, Mailchimp, SMS platforms, and POS systems to generate a cohesive view of the consumer journey.

• Create reusable reporting templates and automated dashboards for client recaps, monthly overviews, and real-time campaign performance insights.

• Assess and implement reporting automation tools like Looker Studio Pro, AgencyAnalytics, or Whatagraph to boost scalability.

• Set up data governance and access control measures to ensure secure, account-specific reporting views.

• Collaborate with product and engineering teams to ensure tracking requirements are smoothly integrated into the development lifecycle.

• Convert complex analytics into actionable business insights for internal stakeholders, venues, and brand partners.

• Maintain thorough documentation, including tracking plans, data dictionaries, and architectural workflows.

⛳️ Requirements

• 4+ years of professional experience in marketing analytics, product analytics, or analytics engineering.

• Expert-level knowledge of GA4, Google Tag Manager, and the Google Cloud Platform ecosystem.

• Advanced SQL skills with practical experience in modeling complex datasets within BigQuery.

• Proven history of creating sophisticated dashboards in Looker Studio or similar BI tools.

• Strong understanding of event tracking, custom dimensions, conversion optimization, and UTM strategy.

• Demonstrated capability to define clean data taxonomies and maintain rigorous tracking documentation.

• Experience in data engineering tasks, particularly in merging diverse data sources into reporting-ready models.

• Excellent communication skills with the ability to connect technical execution to business strategy.

• Familiarity with Looker Studio Pro or white-label reporting platforms is preferred.

• Knowledge of automated reporting tools like AgencyAnalytics, Databox, or DashThis is a plus.

• Exposure to Sanity CMS, Mailchimp, or CRM marketing automation tools is highly desirable.

• Understanding of dbt, Fivetran, Airbyte, or ETL tools is preferred.

• Experience with API-based data ingestion, webhooks, or automation platforms such as Make and Zapier is a plus.

• Background in SaaS reporting, multi-tenant analytics, or hospitality/CPG campaign reporting is preferred.

🏝️ Benefits

• 100% Remote Work: Enjoy the flexibility to work from wherever you thrive, requiring only a laptop and a reliable internet connection.

• Highly Competitive USD Pay: Receive an attractive, market-leading compensation in USD that surpasses typical market offerings.

• Paid Time Off: We prioritize your well-being. Our paid time off policies allow you to relax and recharge when necessary.

• Work with Autonomy: Experience the freedom to manage your time effectively as long as the work is completed. Focus on results rather than the clock.

• Collaborate with Top American Companies: Enhance your expertise while working on innovative, impactful projects with industry-leading U.S. companies.