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Analytics Engineer
Hunt StAnalytics Engineer building Gold layer dbt models and metric definitions for a remote technology consulting firm. Collaborating with stakeholders and participating in business validation sessions.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- Advanced experience with dbt Semantic Layer and MetricFlow, including metric definitions, dimensions, entities, measures, and time spines.
- Advanced SQL expertise, including metric calculation logic, window functions, ratio metrics, and period-over-period comparisons.
- Basic Python scripting skills for automation and monitoring-related tasks.
- Intermediate experience with Power BI or other self-service BI platforms, with the ability to validate Gold layer outputs within BI environments.
- Intermediate experience with Atlan or similar data cataloguing platforms, including catalogue administration, glossary authoring, and lineage review.
- Strong retail domain knowledge, with a clear commercial understanding of metrics such as sell-through, OOS rate, clearance percentage, return rate, and AOV.
- Strong communication and stakeholder management skills, with the ability to clearly present metric validation findings to non-technical business stakeholders.
- Experience using Claude API or similar AI tooling to translate business metric register rules into dbt Gold model SQL.
- Familiarity with Cortex Analyst YAML generation for scaffolding Semantic Layer definitions aligned with metric register requirements.
- Experience monitoring Cortex ML models, including Forecasting and Anomaly Detection performance, and triggering retraining workflows when necessary.
- Understanding of NLQ (Natural Language Query) context management, including maintaining governance and semantic layer context that supports AI-powered business user interfaces.
- Exposure to LLM APIs, Snowflake Cortex, or similar AI-driven analytics platforms, whether in production, prototype, or personal project environments.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Hunt St Website LinkedIn All Job Openings 1 - 10 employees 🎯 Recruiter 👥 HR Tech 🤝 B2B Recruitment
- HR Tech
- B2B Hunt St is an Australia-based recruiting firm founded by brothers Shaun and Eliot with the aim of helping small and medium-sized enterprises (SMEs) hire top offshore talent directly, avoiding the high costs associated with traditional outsourcing agencies. The company offers a unique one-time finder's fee model, enabling clients to save significantly on recruitment costs. They provide comprehensive services including job postings, candidate screenings, interviews, and legal support for compliant remote hiring. Hunt St specializes in sourcing talent from countries like the Philippines, Nepal, Indonesia, and India, offering a transparent and ethical hiring process that allows businesses to provide fairer compensation to employees while ensuring stringent security and compliance measures are met. Analytics Engineer Job not on LinkedIn 🔥 13 minutes ago 🇵🇭 Philippines – Remote 💵 $2k - $3k / month ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 📊 Analytics Engineer Python SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- 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. 🎯 Requirements
- Advanced experience with dbt Semantic Layer and MetricFlow, including metric definitions, dimensions, entities, measures, and time spines.
- Advanced SQL expertise, including metric calculation logic, window functions, ratio metrics, and period-over-period comparisons.
- Basic Python scripting skills for automation and monitoring-related tasks.
- Intermediate experience with Power BI or other self-service BI platforms, with the ability to validate Gold layer outputs within BI environments.
- Intermediate experience with Atlan or similar data cataloguing platforms, including catalogue administration, glossary authoring, and lineage review.
- Strong retail domain knowledge, with a clear commercial understanding of metrics such as sell-through, OOS rate, clearance percentage, return rate, and AOV.
- Strong communication and stakeholder management skills, with the ability to clearly present metric validation findings to non-technical business stakeholders.
- Experience using Claude API or similar AI tooling to translate business metric register rules into dbt Gold model SQL.
- Familiarity with Cortex Analyst YAML generation for scaffolding Semantic Layer definitions aligned with metric register requirements.
- Experience monitoring Cortex ML models, including Forecasting and Anomaly Detection performance, and triggering retraining workflows when necessary.
- Understanding of NLQ (Natural Language Query) context management, including maintaining governance and semantic layer context that supports AI-powered business user interfaces.
- Exposure to LLM APIs, Snowflake Cortex, or similar AI-driven analytics platforms, whether in production, prototype, or personal project environments. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Analytics Engineer 🕒 May 1 XTRM Inc. 11 - 50 💳 Fintech 🔌 API 📋 Compliance Website LinkedIn All Job Openings Analytics Engineer managing and evolving data infrastructure for a global fintech company. Collaborating with leadership and teams to deliver actionable insights and optimize data processes. 🇵🇭 Philippines – Remote 💵 $1.6k / month ⏳ Contract/Temporary 🟢 Junior 🟡 Mid-level 📊 Analytics Engineer Azure Cloud ETL Pandas PySpark Python SQL View More Analytics Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
dbt Semantic LayerMetricFlowSQLPythonPower BIAtlanCortex MLClaude APINLQLLM APIs
Soft Skills
communicationstakeholder management