{"id":3354504,"url":"https://alion.io/job/farfetch-junior-analytics-engineer","title":"Junior Analytics Engineer","company":{"id":3450,"name":"Farfetch","domain":"farfetch.com","url":"https://alion.io/company/farfetch","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":79,"open_postings":13,"ghost_share":0,"stale_share":0.846,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Porto, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-27T17:16:45Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T17:19:00Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world’s best brands and charming boutiques from around the world. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.\nOPERATIONS\nThe Operations team serves as the backbone of our marketplace, seamlessly managing the entire order journey. From creating online content and ensuring secure payments to order fulfillment and delivery, while providing comprehensive customer and partner care, this team is relentlessly focused on improving the customer experience every single day.\nPORTO\nOur office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.\nTHE ROLE\nReporting to the Data & Analytics Manager, you’ll help solve complex data challenges and work with a wide range of tools to build accurate, scalable and innovative data solutions. With your analytical expertise and strong problem solving skills you’ll help the FintechOps department make better decisions with data!\nWHAT YOU'LL DO\nTackle complex data problems with a variety of tools and implement innovative and scalable solutions;\n\nLeverage your proficiency in tools such as BigQuery, dbt and Python to efficiently extract and transform raw datasets into structured and usable formats;\n\nBuild and maintain data models, reports and dashboards in BigQuery and Looker to provide stakeholders with relevant and timely information;\n\nApply advanced statistical and analytical techniques to extract meaningful insights from large datasets;\n\nProactively identify and resolve data-related issues, ensuring the reliability and integrity of analytical outputs;\n\nCollaborate with cross-functional teams to understand business requirements and to implement data-driven solutions;\n\nCommunicate complex findings in a clear and understandable manner to both technical and non-technical stakeholders.\n\nWHO YOU ARE\nA bachelor's degree and a minimum of two years of relevant experience are required. Equivalent combinations of education and experience will be considered;\n\nProficiency in SQL (SQL Server, BigQuery, or similar);\n\nExperience using data visualization tools (Looker, PowerBI, Tableau, or similar);\n\nKnowledge of statistical programming languages like Python and/or R is a nice to have;\n\nAbility to work autonomously in solving complex technical problems;\n\nDetail-oriented with a focus on data accuracy and quality;\n\nExcellent communication skills with the ability to convey technical concepts to a non-technical audience;\n\nAdvanced in English, both written and oral.\n\nREWARDS & BENEFITS\nHealth insurance for the whole family and other well-being resources;\n25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) and Boomerang: sabbatical program after 5 years service;\nTraining opportunities and free access to LinkedIn Learning;\nFlexible benefits program;\nFlexible working environment.\nEQUAL OPPORTUNITIES STATEMENT\nFarfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. \nSCAM DISCLAIMER\nIt has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. 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