Напиши текст вакансии для должности "Business Intelligence and Analytics Manager". Название компании: "Алерс Рус". Расположение: Санкт-Петербург. График работы: Полный день. Опыт работы: От 3 до 6 лет. Ключевые навыки: 'Data Analysis', 'Presentation skills', 'Python', 'Teamplayer', 'Project management', 'Analytical skills', 'Управление проектами', 'SQL', 'ETL', 'Power BI', 'Databases', 'SQL Server', 'Big Data', 'Azure', 'Business Intelligence Systems', 'Business intelligence', 'Teambuilding', 'Machine Learning'

Your role:  Can act as an experienced BI Consultant on data warehousing/business intelligence projects Takes up roles as Developer, Data Modeler, ETL specialist, project manager Works closely with analysts, developers Communicates and collaborate with customer representatives and stakeholders Works towards deadlines with high quality Presents ideas for organisational, system and design improvements  Key Responsibilities:  Support our business to implement technology solutions in a cost-effective way by determining the requirements of projects or programs, and communicating them clearly to stakeholders, facilitators, and partners. Stay current with changes in technology and the Business Intelligence &amp; Analytics landscape. Identify key data sources &amp; collect all data source related information to execute the agreed solutions (consult stakeholders when required and define, challenge &amp; prioritize). Design advanced conceptual, logical, and physical data organizations, models, repositories, dashboards, reports within a complete functional and technical architecture. Initial draft model of data and queries and other analytics&#39; interfaces. Develop and maintain data integration processes - extract, transform and load. Collect all required information to manage databases in support of requests (consult stakeholders when required). Analyse collected information - translation of hand-picked KPIs into actionable metrics. Implement security in databases and reporting environments. Data warehouse design and set-up. Conduct knowledge transfer and training of users, including sharing best practices. Experience in leading a team or the ambition to become one and develop yourself as a people manager. As a business intelligence and analytics manager, you get the opportunity to be involved in every step of a project: from defining requirements, to the architecture, the implementation of tools, modeling, extraction. Transformation &amp; loading of data, to the implementation of the reporting/analysis. The technology mainly used is Microsoft BI &amp; SQL Server suite (PowerBI, Reporting Services, Azure Data Factory, …).  A growing and ambitious story:  You will be able to have a big impact and put your own stamp on the short, mid and long term direction of Ahlers via business intelligence &amp; analytics You will be given the freedom and support from the organisation to work out new interesting projects (e.g. forecasting, master data management, data warehousing, …). You will lead a capable and autonomous working team of experts in their respective fields and have the opportunity to (further) develop yourself as a true people manager. You will work closely together with the IT Management Team of an future proof and ambitious company ready to tackle challenges in the logistics sector.  About you: We have told you about the role, here is what we want from you to be successful in securing this position:  Experience in managing and supporting data projects. Knowledge of data governance, data security. As an entrepreneurial personality, you are result and customer focused, and you thrive in a dynamic (international) environment with lots of personal responsibilities and limited formalities. You are a team player, flexible, creative, and eager to learn. First experience in people management is a plus. You have excellent problem solving and analytical skills and good communication and writing skills in English and in Russian. Strong skills in statistics and reporting. In support of your theoretical knowledge, you are able to use R, Python or equivalent statistical tools. Experience with BI tools and concepts. Good knowledge of database technology. Knowledge of Machine Learning and AI is a plus. Experience with data warehouse implementations and knowledge of relational and dimensional data modelling.