Advantest Europe GmbH
Location
Böblingen | Germany
Job description
Advantest - We enable tomorrowʻs technology. IoT, 5G and Artificial Intelligence. Unthinkable without us. More than half of all the microchips produced worldwide first pass through our hands. As the global market leader of automated test systems in the semiconductor industry we help the world to realize the digital transformation, enable our customers to shape the future and offer you the exciting jobs intended for pioneers. Are you seeking answers and opportunities for your future? At our site in Böblingen you will find both as Manager Data Analytics & Business Intelligence (m/f/d) Your Responsibilities Advantest has embarked on a digital transformation journey, which is a key enabler for our continuous business growth. As part of the transformation, you will shape our ADVANTEST data model, Business Intelligence landscape and data integration with our global partners and suppliers. You will also be responsible for running the global Data and Business Intelligence team. Work in partnership with the top management on large transformation projects and therefore not only manage the data aspects but also being closely involved in the implementation of operational improvements, and in providing frequent reports to executive management. Work closely with senior business stakeholders and experts to elicit requirements, develop new concepts and implement them to support complex business use cases across the evolving data landscape. Analyze, capture, plan and socialize the Data Analytics & Business Intelligence roadmap across different business units in coordination with the Enterprise Architecture, Technology and Global Processes across the organization. Responsible for the design and development of platforms and tools for structuring/organizing, storing, retrieving, analyzing, and reporting data. Lead the design and provide guidance in Data Quality Monitoring, Development, Release Management and Support following Information Security guidelines. Responsible for building and maintaining data systems, including but not limited to Decision Support, Business Intelligence, Data Warehousing, Meta-data Repositories, Operational Data Stores, and Enterprise Storage Management. Directing our Global Team of Data Engineers and Business Intelligence Developers towards high value-add Business Intelligence, Planning and Data Engineering capabilities; deliver speedy and high-quality reporting capabilities to Business Units/Functional Units/Regional Units - meeting their specific local needs. Vendor interaction, management, and alignment of capabilities with MS Azure, Power BI and RPA technologies to incrementally deliver functionality & dashboards. Modelling data and guiding the teams on external datasets for incorporation into the data warehouse. Provide expert input into overall architecture direction. Ensure appropriate staffing levels across programs/projects. Mentor a global diverse team with an inclusive team culture. Your Qualifications Bachelor's or Master's degree in IT, Supply Chain Analytics, Engineering or comparable. Preferred 10+ years' experience in working & managing a team of data, Business Intelligence & analytics professionals and managing transformations projects across Business Intelligence. Strong stakeholder management skills to understand and address business needs and requirements Strong analytic & modelling skills related to working on cloud data warehouse projects. Experience with Azure Data factory, Databricks, Pipelines, Azure Synapse, Azure SQL DB, Data Warehouses, Data Marts. Certification is a plus. Familiar with mesh and fabric architecture patterns. Skills in building processes supporting data transformation, data structures, and metadata. Knowledge of, and experience, in working with source Oracle and Microsoft databases. Experience in using SQL/ PL SQL, Python, Spark. Experienced in using Power BI, working with business users and in leading reporting development. Strong project management and organizational skills. PMI Certification is preferred. Solid experience with data analysis and data quality initiatives. Experience of working in a high-tech manufacturing company is a plus. Good communication and collaboration skills in a global environment. Very good knowledge of English, written and spoken. German is a plus. Our offer Flexibility Benefits Development Fitness Security Flexible and trust-based working hours, 30 vacation days + option for additional vacation days, mobile working, individual part-time models and programs for extended periods of absence Attractive salary, share in Advantest´s success through our exceptionally appealing bonus program as well as numerous subsidies, discounts and offerings (e.g. bike leasing) Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses and knowledge sessions Ergonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health days Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations Take your next career step with us! Apply now, preferably via our online application tool. If you have any questions, Alena Nicolai will be happy to answer them at +49 (0) 7031.204.8380 For further information visit: Apply now Would you like to know more about jobs at Advantest and about our unique team spirit? Our employees offer you their personal insights into our working environment. Would you like to take a closer look how our working environment looks like? Here you can take a short virtual 360° tour of our company - click the link to get to know us better. Böblingen Amerang Work in partnership with the top management on large transformation projects and therefore Not only manage the data aspects but also being closely involved in the implementation of Operational improvements, and in providing frequent reports to executive management. Work closely with senior business stakeholders and experts to elicit requirements, develop new Concepts and implement them to support complex business use cases across the evolving data Landscape. Analyze, capture, plan and socialize the Data Analytics & Business Intelligence roadmap across Different business units in coordination with the Enterprise Architecture, Technology and Global Processes across the organization. Responsible for the design and development of platforms and tools for structuring/organizing, Storing, retrieving, analyzing, and reporting data. Lead the design and provide guidance in Data Quality Monitoring, Development, Release Management and Support following Information Security guidelines. Responsible for building and maintaining data systems, including but not limited to Decision Directing our Global Team of Data Engineers and Business Intelligence Developers towards High value-add Business Intelligence, Planning and Data Engineering capabilities; deliver Speedy and high-quality reporting capabilities to Business Units/Functional Units/Regional Units - meeting their specific local needs. Vendor interaction, management, and alignment of capabilities with MS Azure, Power BI and RPA technologies to incrementally deliver functionality & dashboards. Modelling data and guiding the teams on external datasets for incorporation into the data Provide expert input into overall architecture direction. Ensure appropriate staffing levels across programs/projects. Mentor a global diverse team with an inclusive team culture. Bachelor's or Master's degree in IT, Supply Chain Analytics, Engineering or comparable. Preferred 10+ years' experience in working & managing a team of data, Business Intelligence & analytics professionals and managing transformations projects across Business Intelligence. Strong stakeholder management skills to understand and address business needs and Requirements Strong analytic & modelling skills related to working on cloud data warehouse projects. Experience with Azure Data factory, Databricks, Pipelines, Azure Synapse, Azure SQL DB, Data Warehouses, Data Marts. Certification is a plus. Familiar with mesh and fabric architecture patterns. Skills in building processes supporting data transformation, data structures, and metadata. Knowledge of, and experience, in working with source Oracle and Microsoft databases. Experience in using SQL/ PL SQL, Python, Spark. Experienced in using Power BI, working with business users and in leading reporting Development. Strong project management and organizational skills. PMI Certification is preferred. Solid experience with data analysis and data quality initiatives. Experience of working in a high-tech manufacturing company is a plus. Good communication and collaboration skills in a global environment. Very good knowledge of English, written and spoken. German is a plus.
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