Analytics Engineer

• Build Gold layer dbt models, including metric-level aggregations, KPI tables, and denormalized summary tables optimized for BI consumption in Sigma.
• Author dbt Semantic Layer metric definitions using MetricFlow, including sell-through, out-of-stock (OOS) rate, conversion rate, average order value (AOV), weeks cover, and other metrics defined in the business metric register.
• Populate and maintain the business glossary for each completed dataset, including metric definitions, calculation notes, known caveats, ownership, and data lineage.
• Participate in business validation sessions with the onshore team and business stakeholders to ensure Gold metrics align with agreed metric register definitions prior to handover to Run operations.
• Author and maintain dbt Explorer documentation, including model descriptions, column descriptions, and metric definitions to ensure the semantic layer remains fully self-documenting.
• Support ongoing Run operations by managing metric change requests, implementing new Gold model additions, monitoring Cortex ML models, maintaining Claude NLQ context updates, and tracking AI agent uptime and performance.
• Collaborate with stakeholders and cross-functional teams to validate business requirements, clarify KPI logic, and ensure consistent metric governance across the platform.

• Own end-to-end tracking implementation and ensure clean, reliable event measurement across ad platforms, CRMs, and client websites
• Partner closely with account managers and clients to understand tracking requirements, implement solutions, and validate data accuracy across systems
• Configure and maintain GTM, Meta Pixel, Google Ads conversion tracking, and related platforms
• Implement and QA event tracking across websites, CMS platforms, CRMs, and ecommerce systems
• Validate conversion events, UTMs, and attribution logic across platforms
• Integrate tracking with CRMs and systems such as HubSpot, Salesforce, Recruiterflow, or GoHighLevel
• Work directly in client codebases when tag managers are insufficient
• Implement and troubleshoot tracking in React and TypeScript environments
• Test and verify all tracking implementations before handoff
• Produce clear documentation outlining setups, assumptions, and limitations
• Communicate technical concepts clearly to non-technical stakeholders
• Proactively recommend improvements to tracking accuracy and reporting reliability

Web Analytics Developer

• Collaboration with the Senior Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes that support internal reporting and embedded analytics.
• Partner with the data analysts to understand data needs, assisting in the creation of dashboards, reports, and KPIs.
• Design and build data solutions to support reporting, analytics, and business insights for supply chain solutions.
• Ensuring high data quality, integrity, and security across the different data solutions.
• Participate in building dashboards and visualisations to communicate insights to stakeholders clearly and effectively.
• Troubleshoot and resolve data-related issues, improving data flow efficiency and performance.
• Evaluate and recommend improvements in our data tools, architecture, and practices, focusing on long-term scalability and adaptability.
• Support in designing, building, and maintaining advanced data models and data warehouses.
• Writing, optimising, and reviewing SQL queries for data extraction and transformation.

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Analytics Engineer

Web Analytics Developer

Junior Analytics Engineer, Data Analyst