Analytics Engineer

• Design, build, and maintain scalable data models in Amazon Redshift to support reporting, dashboards, and ad hoc analysis.
• Collaborate with data engineering teams to expand and optimize the analytics warehouse architecture.
• Establish and enforce standards for schema design, naming conventions, and data lineage.
• Develop, maintain, and optimize data pipelines that deliver clean and reliable data to business users.
• Partner with stakeholders to gather requirements and translate business needs into scalable data solutions.
• Create and maintain comprehensive data documentation, including metrics definitions and transformation logic.
• Support BI platforms by ensuring analytics-ready datasets and assisting with dashboard development.
• Monitor data quality and implement testing, alerting, and validation processes to ensure warehouse reliability.
• Identify opportunities to improve data accessibility, consistency, and usability across the organization.
• Promote best practices in analytics engineering, including version control, code reviews, and reproducible workflows.

Analytics Engineer – Digital Media

• Participate in vendor scoping sessions to finalize full table and field requirements before the build phase begins.
• Model a dedicated datamart in the dbt transformations marts layer, sourcing data from core order, line item, and customer tables.
• Translate vendor schema specifications into specific internal field mappings, accurately accounting for DTC-adjusted logic such as ship-to addresses, order dates, and customer grain.
• Configure Snowflake data sharing and connections to facilitate seamless vendor ingestion.
• Write comprehensive dbt tests and documentation for all delivered models to ensure long-term data quality and transparency.
• Manage the full merge request workflow using GitLab, adhering to strict peer review processes before deployment.

Senior Analytics Engineer – ETL/ELT focused

• Manage and optimize GTM containers and GA4 property configurations to ensure absolute data integrity
• Support the technical configuration of Adobe Analytics (via Adobe Launch/Data Collection) based on engineering and product requirements
• Deploy tracking pixels and events for marketing and product initiatives, assisting in dual-tagging efforts during the transition to Adobe Analytics
• Translate product requirements into technical tagging specifications and maintain the Solution Design Reference (SDR)
• Partner with Product teams to implement, instrument, and validate A/B test tracking using tools like Adobe Target, LaunchDarkly, and ContentSquare
• Perform rigorous Quality Assurance (QA) and User Acceptance Testing (UAT) on all new tags and conduct regular audits to resolve tagging errors

Senior Digital Analytics Engineer

• Implement the curated data model layer in dbt across 18 data domains, working closely with the Onshore Analytics Engineering Lead.
• Design and build dbt models across the full layered architecture: staging, intermediate, and mart layers.
• Implement comprehensive dbt testing strategies, including unique, not_null, accepted_values, relationships, and custom tests to ensure data quality and reliability.
• Develop and optimize incremental models to handle high-volume domains processing billions of events efficiently.
• Generate and maintain thorough project documentation, including column descriptions and lineage graphs, to support transparency and team collaboration.

• Design and implement a multi-tier SaaS reporting infrastructure to support diverse client levels and brand campaign requirements.
• Lead the GA4 and Google Tag Manager strategy, overseeing implementation, QA, and the definition of event tracking standards for QR scans, lead captures, and promo engagement.
• Architect and manage GA4 data exports into BigQuery, building robust models that join event data with account, venue, and subscription datasets.
• Integrate data from diverse sources including Sanity CMS, Mailchimp, SMS platforms, and POS systems to create a unified view of the consumer journey.
• Develop reusable reporting templates and automated dashboards for client recaps, monthly summaries, and real-time campaign performance.
• Evaluate and deploy reporting automation tools such as Looker Studio Pro, AgencyAnalytics, or Whatagraph to enhance scalability.
• Establish data governance and access control protocols to ensure secure, account-specific reporting views.
• Partner with product and engineering teams to ensure tracking requirements are seamlessly integrated into the development lifecycle.
• Translate complex analytics into actionable business insights for internal stakeholders, venues, and brand partners.
• Maintain comprehensive documentation including tracking plans, data dictionaries, and architectural workflows.

Senior Data Analytics Engineer – Hospitality Tech

• Architect the Business Insights Foundation
• Deliver Business-Facing Insights
• Directly Collaborate with Stakeholders
• Story-tell Using data
• Build for Scale
• Apply Engineering Rigor to Analytics

Senior Analytics Engineer

• Create and articulate a compelling value proposition for AWS migration, clearly demonstrating its transformational benefits to client executives.
• Define and execute technical migration and modernization strategies in collaboration with highly technical teams.
• Deliver modern architectures, including microservices and event-driven architectures, using managed services and cloud-native capabilities.
• Engage with clients’ development, infrastructure, security, and IT operations teams to identify repeatable patterns and architectures for cloud migration.
• Identify platform improvement opportunities and influence future iterations of the AWS platform and the Migration Acceleration Program.

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