More than three years of commercial experience in one listed area: Data Analytics, Data visualization, Dashboards development .
Proficiency in Power BI (create data models, design and develop reports and dashboards, and implement data visualisations that meet business needs).
Hands-on experience with data integration using relational (e.g. SQL) and non-relational databases (e.g. Mango DB).
Hands-on experience with business intelligence tools, Power Platform, including Power Automate, Power Querry, Power Apps development.
Deep knowledge about building and developing ETL processes (M language), and Reports modeling (DAX)
Ability to analyze source system data to uncover data issues that may need to be addressed to meet business requirements.
Optional
Good knowledge of the Azure cloud platform and related tools, or other cloud services such as AWS or Google Cloud.
Understanding of Python programming and familiarity with libraries like TensorFlow, PyTorch, or scikit-learn.
Experience using GitHub Copilot or Copilot Studio for development support.
Your responsibilities
Participate in different AI & Analytics or Data Management solution implementation stages, including requirements gathering, data integration, modeling/ETL, development as well as handover & documentation.
Design and develop Power BI reports, ensuring report accuracy and performance.
Develop and implement AI and data analytics strategies that align with the delivery model and use approved tools (e.g.: Azure DevOps).
Collaborate with internal project teams, application owners and technology resources to enable the development and deployment of release packages.
Perform data profiling and develop source to target data mapping with transformation and integration rules.
Analyze source system data to uncover data issues that may need to be addressed to meet business requirements.