{"id":2791434,"url":"https://alion.io/job/richemont-analytics-engineer","title":"Analytics Engineer","company":{"id":1791761,"name":"Richemont","domain":"richemont.com","url":"https://alion.io/company/richemont","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":85000,"period":"year","method":"role_country_seniority_unknown","sample_n":41},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-18T05:10:51Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Richemont, one of the world leaders in the luxury sector, has various Houses specializing in jewelry, watches and high-end accessories.Each Maison proudly embodies a tradition of style, quality and craftsmanship and Richemont strives to preserve the heritage and identity specific to each of them.At the same time, we are committed to innovating and designing new products in line with the values of our Houses, through a process of permanent creativity.\nMISSION\nReporting to the Data Enablement Manager, you will be a key member of the Business Performance team, leading initiatives that reinforce Richemont Europe’s position as a strong partner and business enabler for our Maisons. In this role, you will empower data-driven decision-making for our Functions & Maisons, through data enablement. You will be responsible for designing, building, and maintaining robust and scalable data models and pipelines that transform raw data into clean, reliable, and query-ready datasets for analysts and business users. You will ensure data integrity, performance, and accessibility, enabling efficient reporting and advanced analytics. As our organization evolves, you will also help build AI Agents and implement advanced automation solutions (AI/ML).\nSCOPE - Richemont Europe Functions (RRF) & Markets.\nKEY RESPONSIBILITIES & DUTIES\nData Modeling: Design, develop, and maintain advanced data models that support various analytical needs across Functions & Maisons Europe.\nETL/ELT Development: Build, optimize, and manage data transformation pipelines using SQL, Python, and other relevant tools to extract, load, and transform data from various source systems into the data warehouse/lake.\nData Quality & Validation: Implement data quality checks, validation rules, and monitoring processes to ensure the accuracy, consistency, and reliability of data assets.\nPerformance Optimization: Optimize data models and queries for performance and scalability, ensuring efficient data retrieval for reporting and analytical applications.\nCollaboration: Work closely with Data Scientists, Business Analysts, and Data Engineers to understand data requirements, translate business logic into technical specifications, and deliver high-quality data solutions.\nAccess management: Create and manage access rules for our advanced data models efficiently.\nDocumentation: Create and maintain comprehensive documentation for data models, pipelines, and data dictionaries.\n Tooling & Technology: Utilize and contribute to the development of modern data stack tools (e.g., dbt, BigQuery).\nTroubleshooting: Identify and resolve data-related issues, ensuring data availability and accuracy.\nDashboarding: Develop, maintain and deploy dashboards answering identified business needs.\nInsights: Perform in depth analyses to address specific business needs by providing actionable insights.\nUser upskilling: Train, accompany and support business users in using efficiently our analytics tools.\nBusiness planning: Actively support in the preparation of the budget, strategic plans, business reviews, business development exploration & operational forecasts.\n Projects: Be a key contributor in data related business projects to identify efficiencies, opportunities and eventual risks (ex. Commission scheme).\n Agentic AI: Collaborate with senior engineers and data scientists to design and implement AI Agents, by applying machine learning techniques, including Large Language Models (LLMs).\nRegional Forecasting Process: Drive for the regional forecasting process supporting the regional exco in the Budget preparation and the local logistics operations team in the capacity planning.\nPROFILE\nRequired Skills & Experience:\nStrong proficiency in SQL for data manipulation, transformation, and querying.\nExperience with data warehousing concepts and technologies (e.g., Google BigQuery).\nProficiency in a scripting language, preferably Python, for data processing and automation.\nExperience with data transformation tools, especially dbt (data build tool), is highly desirable.\nFamiliarity with cloud platforms (e.g., GCP, AWS, Azure) and their data services.\nUnderstanding of data modeling techniques (e.g., Kimball methodology).\nExperience with version control systems (e.g., Git).\nStrong analytical and problem-solving skills with attention to detail.\nAbility to communicate effectively with both technical and non-technical stakeholders.\nAbility to manipulate and condense large volumes of data into succinct and powerful visualizations (graphs, charts, diagrams, dashboards, pivot tables)\nQualifications:\nBachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.\nRelevant certifications in cloud data platforms or data engineering are a plus.\n#Richemont #WeCraftTheFuture","description_format":"text","description_chars":4806,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Jewelry","Watches","Luxury Goods & Designer Brands"],"lifecycle":[{"event":"open","at":"2026-10-17T20:02:34Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.362,"p_room":0.35,"age_days":17,"expected_fill_days":8,"reasons":["conf:1","win:tail","comp:brand"],"computed_at":"2026-10-18T06:16:07Z"},"pay":null,"html_url":"https://alion.io/job/richemont-analytics-engineer","json_url":"https://alion.io/job/richemont-analytics-engineer.json","meta":{"generated_at":"2026-10-18T06:16:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9403,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1791761},"rest":"https://alion.io/mcp/rest/get_company?id=1791761"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frichemont-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frichemont-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frichemont-analytics-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/richemont-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frichemont-analytics-engineer"}]}