{"id":1797148,"url":"https://alion.io/job/orange-analytics-engineer","title":"Analytics Engineer","company":{"id":52882,"name":"Orange","domain":"orange.com","url":"https://alion.io/company/orange-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":125000,"period":"year","method":null,"sample_n":5640},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"Edge AI","optional":false},{"name":"Google BigQuery","optional":false},{"name":"SQL","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-03T17:15:46Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-05T22:11:00Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Publication date : Jul 15, 2026, 12:00AM\nAnalytics Engineer\nAre you passionate about turning raw data into powerful insights?\nAs an Analytics Engineer, you’ll be the mastermind behind creating trusted, reusable, and analytics-ready data products that drive smarter decisions across the consumer business unit. You’ll design key business metrics, build semantic models, and develop reliable datasets that form the backbone of self-service analytics, executive strategies, and cutting-edge AI capabilities.\nOperating at the crossroads of business performance, data engineering, and governance, you’ll ensure that data isn’t just available - it’s clear, trustworthy, and scalable for everyone.\nWithout your expertise, teams would still be stuck with fragmented KPIs, manual reports, and inconsistent data - holding back growth, trust, and the future of AI-driven innovation.\nYour Responsibilities:\nDesign, build, and maintain trusted, business-focused data products, KPIs, and datasets; translate business ideas into reusable metrics; collaborate with Data Engineering to industrialize and support self-service analytics.\nOwn KPI definitions and business rules, collaborate with Data Governance to ensure data quality and compliance, contribute to metadata and data lineage initiatives, and promote a single source of truth for CBU performance.\nDevelop trusted, reusable data assets for self-service analytics, automate reports and processes, enhance the analytics stack and semantic layer, and improve scalability, performance, and maintainability of solutions.\nPrepare data for AI-driven analytics and natural language access, develop trusted datasets, evaluate new technologies to enhance user experience, and support the shift toward augmented analytics and self-service decision-making.\nWork closely with business stakeholders to understand their challenges, support analysts with reliable data assets, and promote standard metrics and automation to improve performance management.\nExperience & Education: At least a few years of experiencein analytics engineering, BI development, or data product design; Bachelor's orMaster’s in engineering, data, statistics, or related fields.\nBusiness & Industry Knowledge: Strong understanding of telecom or commercial analytics, operational performance drivers, and ability to link analytics to business outcomes.\n Technical Skills: Proficiency in advanced SQL, data modeling, cloud platforms (preferably BigQuery), semantic modeling, and BI ecosystems; experience with data governance tools (e.g., DataGalaxy), transformation frameworks (e.g., dbt), and data quality management.\nData Product & Asset Development: Proven ability to design reusable data products, industrialize analytical assets, and manage KPIs and business metrics effectively.\n Stakeholder & Communication Skills: Excellent stakeholder management and communication abilities.Fluent in English (knowledge of French is also desirable)\nEmerging Technologies & AI: Understanding of Generative AI use cases, LLM-based querying, conversational analytics, AI copilots, and ability to operate within human + AI workflows.\n Governance & Scalability: Strong knowledge of data governance principles, scalability, and ensuring data solutions meet governance and scalability standards.\nFluent in English (knowledge of French is also desirable).\nYou will develop your full potential by working with highly skilled and passionate colleagues and through continuous training.\nYou will have the opportunity to shape the future of data at Orange Belgium and lead AI transformation projects in the country.\nMoreover, you can count on a highly competitive and versatile compensation (market competitive salary, company car or legal mobility budget, homeworking and net allowance, performance bonus, meal vouchers) and benefits package.\nAt Orange, only your skills matter.\nRegardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may 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