Analytics Engineer
hace 3 días
Overview Analytics Engineer (Data Quality & Tracking) – on-site in Valencia, Spain. Relocation assistance is available if you’re outside of the city or country.1 day ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.Responsibilities Strong understanding of product analytics and event-based trackingExperience working with databases and analytical warehouses (Snowflake preferred)Strong SQL and Python skillsSolid understanding of data modeling, schemas, and data pipelinesAbility to translate product logic into correct data structuresExperience working closely with frontend, backend, product, and data teamsHigh attention to detail and strong ownership mindsetNice to Have Experience in iGaming / gaming / high-traffic consumer productsFamiliarity with tracking tools (GA, BQ, ClickHouse)Experience defining tracking plans or analytics specificationsBasic understanding of ETL / ELT pipelinesExperience working with data architects or analytics platformsAnalyze how new product features work from a user behavior and product logic perspectiveUnderstand feature implementation on both frontend and backend levels to ensure correct tracking logicAnalytics Requirements & Tracking Design Define analytics requirements before feature launch, including events, attributes, and user-level data to be trackedNaming conventions, schemas, and data structureWork closely with product managers, frontend and backend engineers to align on tracking implementationEnsure tracking is designed to support future analysis, segmentation, and business questionsData Quality & Consistency Validate that data written to the database is logically correct and meaningfulPrevent incorrect aggregation or data pollution(e.g. different bonus types merged into a single “bonus” field)Identify inconsistencies between product logic and recorded dataEnd-to-End Data Flow Validation Validate the full data pipeline to ensure no data loss, duplication, or incorrect transformationsCollaborate with Data Engineers and Data Architects to align tracking with data modelsValidate transformations and ingestion logic; improve data reliability and scalabilityPost-Launch Monitoring & Support Perform post-launch data validation and ongoing monitoringDetect and investigate anomalies, missing events, or broken trackingSupport insight analysts by ensuring data is clean, consistent, and analysis-readyDocumentation & Enablement Document business logic and assumptionsAct as a single point of ownership for tracking and data quality standardsWhat We Offer 23 days of paid vacation leaveSix additional days of undocumented sick leavesBirthdays, milestones and employee anniversaries celebrationsModern offices with snacks and all the essentialsSocial Club and more than 50 events per yearPartial coverage of breakfasts and lunchesLearning and development opportunities and interesting, challenging tasks✈️ Relocation package (tickets, hotel for up to 2 weeks, and visa relocation support for family members)Opportunity to develop language skills, with partial compensation for EnglishCompetitive remuneration level with annual reviewJob Details Seniority level: Mid-Senior levelEmployment type: Full-timeJob function: Information TechnologyIndustries: Software Development#J-18808-Ljbffr
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