PpstrongThis position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Analytics Engineer – Marketing Data based in Italy. /strong /ppJoin a data-driven environment where analytics engineering plays a key role in transforming marketing data into actionable business insights.brIn this role, you will design and optimize data models that support marketing analytics and business decision-making.brYou will work extensively with Google Analytics data, Snowflake, SQL, and Python to build reliable, scalable data solutions.brPartnering with business stakeholders, you will translate complex requirements into clear technical deliverables.brYou will help ensure data quality, consistency, and accuracy throughout the entire data pipeline.brWorking within a collaborative, version-controlled development environment, you will contribute to robust engineering practices and continuous improvement.brThis opportunity is ideal for an experienced analytics engineer who combines strong technical expertise with business understanding and a proactive, problem-solving mindset. /p /brbAccountabilities /bpulliDesign, develop, and maintain scalable data models, transformations, and materializations in Snowflake to support marketing analytics and business reporting. /liliWork hands-on with Google Analytics data in a production environment, ensuring that marketing data is accurately structured and readily available for analysis. /liliDevelop, review, troubleshoot, and optimize SQL queries and Python code to improve data processing, reliability, and performance. /liliAnalyze API documentation and translate endpoints, objects, fields, and identifiers into practical data integration solutions aligned with business requirements. /liliImplement and maintain data validation practices across multiple stages of data pipelines to ensure data integrity, consistency, and accuracy. /liliApply Git-based development workflows, including version control, code reviews, testing, and CI/CD practices, to maintain high engineering standards.



/liliCollaborate with stakeholders to gather requirements, clarify ambiguous business needs, structure discussions, and translate findings into precise, actionable technical specifications. /liliIdentify opportunities to improve data models, transformation logic, pipeline reliability, and overall analytics engineering processes. /li /ulh3Requirements /h3ulliAt least 5 years of relevant professional experience in analytics engineering, data engineering, marketing data, or a closely related field. /liliHands-on professional experience working with Google Analytics data in a business or production environment. Academic coursework, certifications, or self-directed projects alone do not meet this requirement. /liliProfessional experience supporting data initiatives within a retail or e-commerce environment. /liliAdvanced SQL skills, including experience designing fit-for-purpose data models, transformations, and materializations in Snowflake. /liliWorking proficiency in Python, with the ability to read, evaluate, debug, troubleshoot, and improve code written by others. /liliExperience interpreting API documentation and mapping API endpoints, objects, fields, and identifiers to business and technical requirements. /liliPractical experience with Git and version-controlled development workflows, including code reviews, testing, and CI/CD. /liliStrong understanding of data quality and validation techniques across different stages of a data pipeline. /liliExcellent stakeholder management and requirements-gathering skills, with the ability to bring structure to ambiguous discussions and turn business needs into clear technical solutions. /liliExceptional written and verbal communication skills in English,



with the ability to communicate technical concepts clearly to both technical and non-technical audiences. /liliA proactive, analytical, and detail-oriented mindset, combined with strong problem-solving skills and the ability to work effectively in a remote environment. /li /ulh3Benefits /h3ullistrongRemote work: /strong Work remotely from Anywhere, offering flexibility in your working environment. /lilistrongLong-term engagement: /strong An opportunity to contribute to ongoing data engineering and marketing analytics initiatives through a long-term contract. /lilistrongTechnical impact: /strong Work with modern data technologies, including Snowflake, SQL, Python, Google Analytics, and API integrations. /lilistrongBusiness exposure: /strong Collaborate with stakeholders to solve meaningful business challenges and support data-informed decision-making. /lilistrongProfessional development: /strong Strengthen your expertise in analytics engineering, data modeling, marketing data, and scalable data pipeline development. /li /ul /p /brpstrongHow Jobgether works: /strong /ppWe use an strongAI-powered matching process /strong to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. /ppWe appreciate your interest and wish you the best! /ppa Why Apply Through Jobgether? /a /ppstrongData Privacy Notice: /strong By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. /pp#LI-CL1 /p /p #J-18808-Ljbffr

📌 Senior analytics engineer - marketing data (Italia)
🏢 Jobgether
📍 Italia