Analytics Engineer

Overview Analytics Engineer - Apprenticeship at Siemens. Location: Milan, Italy. Duration: 2 years. An Apprentice within the Information Technology area who will be trained in Milan as Analytics Engineer. Transform the everyday with us. We are looking for an Apprentice within the Information Technology area who will be trained in 2 years in Milan as Analytics Engineer. During the apprenticeship you will receive a comprehensive and state-of-the-art training to develop your personal and professional skills and you will have the support of a mentor to achieve your career steps. Siemens is a focused technology company, pioneering intelligent solutions that transform the everyday in manufacturing, grids, buildings, and transportation. Our technology addresses real problems that affect the future of humanity. You love to create an impact? From Day 1 you are empowered to make a difference for a better tomorrow with your full potential and creativity. Your Challenge As an Analytics Engineer your mission will be to drive the development and optimization of our data analytics and visualization capabilities, enabling business teams to make informed decisions and accelerate digitalization. Some of the main activities will be: Design, update, and optimize executive dashboards to deliver meaningful, easy-to-understand insights, following established standards for data visualization and user experience. Establish, clearly define, and continuously update key business metrics to guarantee accuracy and consistency in analytics and reporting. Build, refine, and manage data queries and ELT pipelines, ensuring data accuracy, integrity, and high performance. Establish and advocate for standards and best practices in dashboard development, collaborating and upskilling colleagues and stakeholders. Collaborate closely with data engineering, analytics, and business teams to continuously improve data sourcing, reporting, and overall analytics capabilities. Support the integration of advanced analytics and machine learning models into dashboards and data flows, contributing to data science initiatives that enhance business value. Participate in the design and deployment of predictive analytics and data-driven automation, learning to apply data science methodologies to real-world challenges. Required entry qualifications You have less than 30 years of age, in accordance with the Italian apprenticeship contract You are fresh graduate in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field Basic familiarity with Python, SQL or other programming languages commonly used in data science Experience in data analysis, dashboarding or analytics engineering is a strong plus Proficiency in English and Italian Team player ability, strong communication & interpersonal skills; Ability to work in a changing environment Passion to never-stop growing Respect and appreciation of each person’s uniqueness, willingness to co create and share knowledge Eligibility to work in Italy What We Offer Flexibility: a trustful environment with an inclusive and flexible way of working driven by results, hybrid and remote working enabled by innovative tools and devices, personal computer and smartphone; wi-fi connection reimbursement. Welfare: flexible welfare programs and health insurance extendable to your family; professional and extraprofessional accident insurance; free on-site lunch options. Never stop growing: plenty opportunities for continuous and individual learning journeys An inclusive team culture where you can be yourself Join us and be yourself. Inclusion is our ambition. Siemens is an equal opportunity employer, offering a safe and inclusive work environment, based on mutual respect and the appreciation of uniqueness, guaranteeing equal employment opportunities to all qualified candidates to unleash their full potential. Address to us your desired working conditions/environment. Typically, this kind of position is full-time, however please feel free to ask for a more flexible arrangement if that suits you better. Our recruiting team is looking forward to getting to know you #J-18808-Ljbffr