Senior Data Analytics Engineer – Hospitality Tech
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Job Description
Data Engineer designing scalable reporting data architecture for a hospitality tech client. Involves extensive experience with BigQuery, SQL, and data warehousing.
Responsibilities:
- Design and build the reporting data architecture, structuring BigQuery datasets, tables, and views for scalable, multi-account, and multi-venue analytics.
- Build and manage ingestion pipelines from multiple disparate data sources, utilizing APIs, webhooks, scheduled syncs, ETL/ELT tools, or custom scripts.
- Set up and manage data exports from GA4 to BigQuery, establishing clean data relationships across all reporting entities including accounts, venues, campaigns, and subscription tiers.
- Integrate diverse data streams including Google Tag Manager, CMS platforms, email and SMS marketing tools, receipt validation services, and POS systems.
- Create clean SQL models to transform raw behavioral data and business metadata into reusable, reporting-ready tables.
- Prepare foundational data models to power automated dashboards and client-facing analytics for various BI platforms like Looker Studio.
- Establish comprehensive data quality assurance processes, validation checks, and actively monitor pipeline reliability.
- Maintain clear, thorough documentation for schemas, data flows, transformations, reporting logic, and event taxonomies.
- Partner cross-functionally with product and engineering teams to ensure tracking is implemented correctly and to support privacy-conscious data practices.
Requirements:
- 4+ years of professional experience in data engineering, analytics engineering, product analytics, or data analysis.
- Demonstrated, hands-on experience building a data warehouse or reporting database entirely from scratch (this is a mandatory requirement for the role).
- Strong proficiency in SQL and extensive experience structuring and managing BigQuery.
- Proven ability to build, manage, and scale ETL or ELT data pipelines.
- Deep understanding of event-based analytics and direct experience with GA4 to BigQuery exports.
- Expertise in data modeling for analytics and the ability to create reporting-ready datasets for BI tools.
- Experience working with APIs, webhooks, or scheduled data syncs to join data across multiple sources.
- Exceptional documentation, data governance, and data QA habits.
- Experience with Looker Studio, Looker Studio Pro, or other white-label reporting platforms (e.g., AgencyAnalytics, Databox, DashThis) is preferred.
- Familiarity with modern data tools and scripting languages such as Python, Zapier, or Google Cloud Functions is a plus.
- Experience defining GA4 event taxonomies and working with Google Tag Manager is highly advantageous.
- Background in SaaS reporting, client-facing dashboards, or multi-tenant analytics is preferred.
- Familiarity with marketing platforms, CMS tools (like Sanity CMS), marketing automation systems (like Mailchimp), or POS systems is a plus.
- Prior experience in hospitality, retail, CPG, loyalty, rebates, or campaign attribution reporting is a strong plus.
Benefits:
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
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