{"id":513747,"url":"https://alion.io/job/sigma-software-group-senior-analytics-engineer-semantic-layer","title":"Senior Analytics Engineer (Semantic Layer)","company":{"id":6266,"name":"Sigma Software Group","domain":"sigma.software","url":"https://alion.io/company/sigma-software-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tirana, Albania"],"countries":["AL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":84000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3468},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"LLM","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-07T10:13:34Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-11-02T13:16:47Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"description":"Join a project where data consistency, analytics scalability, and AI readiness are treated as core business priorities. We are looking for a Senior Analytics Engineer to help build an AI-first semantic layer that standardizes business metrics across dashboards, reporting systems, analytical products, and AI-driven applications.\nYou will work closely with cross-functional stakeholders and engineering teams to transform raw data into governed business meaning that can be trusted across the organization.\nWe at Sigma Software offer the opportunity to contribute to large-scale AdTech and analytics initiatives, work with modern data platforms, and influence the future of self-service analytics and AI-powered reporting solutions.\nCUSTOMER\nOur Customer is a leading technology company operating in the AdTech and digital monetization domain. The company develops scalable self-service advertising and analytics solutions used by enterprise clients worldwide to manage campaigns, reporting, and monetization workflows. The environment combines large-scale data processing, analytics engineering, and AI-driven innovation, with a strong focus on trusted metrics, reporting consistency, and data governance.\nPROJECT\nThe project focuses on building an AI-first semantic layer that standardizes and governs business metrics across analytics platforms, dashboards, reporting systems, and AI-powered applications. The team is developing canonical analytical models to ensure that concepts such as revenue, impressions, campaigns, and advertiser activity are consistently defined and reusable across the organization.\nThe initiative combines semantic modeling, modern data transformation practices, BI enablement, and AI/LLM-oriented data preparation. The goal is to establish a scalable analytics foundation that supports self-service analytics, trusted reporting, and future customer-facing analytical products.\n Design and implement scalable semantic modeling approaches for enterprise analytics\nBuild canonical analytical models on top of the core data platform\nDefine and govern business metrics together with Finance, Product, Ad Operations, Sales, and other stakeholders\nTranslate business definitions into robust and tested technical implementations\nDevelop reusable semantic models consumable by BI tools, analytical products, and AI agents\nCreate and maintain dashboards and analytical solutions for internal stakeholders\nReconcile critical metrics across operational systems, reporting platforms, and financial data\nImplement automated testing for metrics, transformations, and business rules\nMaintain documentation, metadata, and lineage for business definitions and analytical assets\nContribute to establishing company-wide data standardization processes\nDesign intuitive datasets optimized for analyst workflows and machine consumption\nSupport the evolution of self-service analytics capabilities\nEnsure governed metric definitions are consistently used across internal and customer-facing reporting systems\n At least 5 years of experience in Analytics Engineering or Data Engineering\nStrong background in analytics engineering, data modeling, or business intelligence engineering\nAdvanced SQL skills\nCommercial experience with dbt or similar modern data transformation frameworks\nStrong understanding of dimensional, canonical, and semantic modeling concepts\nExperience building production-grade BI solutions and analytical products\nExperience collaborating with non-technical stakeholders to define business metrics and KPIs\nStrong understanding of data quality validation, testing, and reconciliation processes\nAbility to transform ambiguous business concepts into clear technical definitions\nHands-on experience implementing semantic or metrics layers\nExperience in SaaS or AdTech domains\nExperience working with modern cloud-based data platforms and scalable analytics architectures\nAt least an Upper-Intermediate level of English\nWILL BE A PLUS\nFinance and revenue reconciliation experience\nExperience with multi-tenant analytics environments\nHands-on experience preparing structured data and metadata for AI/LLM consumption\nExperience building customer-facing analytics and reporting solutions\n PERSONAL PROFILE\nStrong analytical and problem-solving mindset\nAbility to work independently in a fast-paced environment\nDetail-oriented approach to data quality and business consistency\nProactive communication and collaboration skills\nOwnership mindset and focus on long-term 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