Data Analytics And Visualization Specialist
At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional Data Analytics and Visualization Specialist to join our UniQue Ispra team.
In this role, you will have the opportunity to work closely with our customers in the public sector and you will be responsible for developing new business by identifying profitable opportunities, maintaining your client portfolio by building strong, long-lasting relationships, and monitoring the progress of the projects, with the aim to provide excellent client service and added value services.
What will you be bringing to the team? Collect and analyze business requirements to develop advanced data analysis and visualization solutions. Design and implement user-friendly and effective presentation interfaces with a focus on usability and optimal user experience. Work with data extraction, transformation, and loading (ETL) processes to identify, collect, convert, and update various data types and datasets. Create data models and visualizations to address specific problem statements and insights. Develop and maintain scripts and programs for data analysis and reporting. Collaborate with the team to contribute to the design, implementation, and optimization of analytics and visualization architectures. Prepare and maintain comprehensive documentation for all tasks and workflows, while ensuring alignment and coordination with other project teams to address cross-project dependencies. Requirements What do you need to succeed in this position? Strong knowledge and hands-on experience with Power BI (essential) and preferably Tableau for data visualization. Proficient in data analytics techniques and tools, with a good understanding of data visualization principles. Familiarity with business intelligence tools (Tableau, SAS, or similar) and modern database solutions (SQL, NoSQL, MongoDB, Hadoop). Experience with ETL tools and processes (e. g. , Talend Open Studio or similar). Ability to work with large datasets and implement predictive or prescriptive analytics (e. g. , trends analysis, forecasting, or anomaly detection). Excellent communication skills and the ability to translate technical results into clear and actionable insights for stakeholders. Good knowledge of English. Advantageous: Basic knowledge of machine learning techniques and natural language processing. Proficiency in scripting and programming languages such as Python, R, or Perl. Experience with migration-related data analysis. #J-18808-Ljbffr
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