Data Analyst / hybrid - Wrocław

Our client exists to bring solutions to the world's water challenges and accelerate the transition to clean energy. They are a global leader in high-quality piping solutions for use in building, infrastructure, industrial and agricultural applications across the globe. Over 15,000 people have selected to work for them in more than 40 countries.
They have embarked on a positive journey with its “Growth with Purpose” strategy, implementing ambitious, urgent actions for sustainability and innovation that will pay off in the short term. By 2025, they will be focusing on the areas where they can create the biggest impact: on carbon reduction in their plants and on increasing the share of recycled content in our products. In conjunction, they will continue to develop more and better water solutions for society as a whole.
 The Data Platform Analyst communicates with internal stakeholders to understand the needs and the issues of the departments. He/she builds data pipelines that collect and transform data coming from multiple sources into datasets and reports according to functional and technical specifications. He/she maintains and supports the existing data pipelines, datasets, and reports on a daily basis.
 KEY RESPONSIBILITIES:
 

• Collect, document and assist users and Data Platform Team Lead to clearly identify information system requirements and business processes and suggest potential improvements
  
• Collaborate with the Business department leaders to understand data needs
  
• Build and deliver datasets, pipelines, and reports
  
• Ensure solution quality and compliance with requirements and standards
  
• Support the solutions and the users on a daily basis
  

Requirements

• 5 years of professional experience within the Enterprise Intelligence field (Data Analytics, Data Warehouse modelling, Data Lake setup, Data cleansing, ETL, …)
  
• Good understanding of end-to-end BI flow, like daily data refresh, data quality and data monitoring activities, performance optimisation, data modelling
  
• SQL proficiency (at least 5 years of experience with: Oracle, MSSQL, DB2, …)
  
• Proven experience in gathering requirements and testing
  
• Experience in analysing data to draw business-relevant conclusions and in data visualization techniques and tools
  
• Experience with several of the following tools:
  
• Reporting: Power BI, Tableau, BO Web Intelligence…
  
• Data Platform: Snowflake, Azure Data factory, ADLS, Azure DevOps, Atlan Data Catalog, …
  
• Excellent planning, organizational, and time management skills
  
• Experience in working in an international environment
  
• Strong written and verbal communication skills in English, including technical writing skills