Business Intelligence Analyst/Developer at Vasco Worldwide

Activities

• Data sourcing, cleansing, transformation, analysis and reporting within a Business Intelligence environment
• Design and develop database solutions
• Design and develop visually attractive reports using various BI platforms
• Data integration development using ETL tools
• Document operational procedures

Requirements

• Tertiary degree, diploma or certificate in a related field (BSc Computer Science, B.IT or Informatics related degrees)
• 3 - 5 years’ working experience as a BI Developer, Data Analyst, Reporting Analyst, Database Developer and/or Technology Consultant
• Experience in the financial services and/or retail industry will be beneficial
• Knowledge in the following technologies, tools, disciplines and methodologies:
• Data Warehousing, data consolidation and reporting
• Dimensional Modeling
• Ralph Kimball Methodologies
• Microsoft SQL Server Databases and related tools including:
• SSRS – SQL Server Reporting Services
• SSIS – SQL Server Integration Services
• SSAS – SQL Server Analysis Services
• MDX (Multidimensional Expressions) Language knowledge
• Azure and related resources such as Azure Data Factory and DevOps
• AWS (Amazon Web Services) Knowledge
• Tableau Desktop, Power BI, QlikView and/or Qlik Sense and other BI Tools
• Oracle Databases and related development tools

Key Skills Required:

• Design, develop, implement and maintain business intelligence solutions
• Data staging, preparation and cleansing
• Data integration with ETL tools
• Presenting information through reports and visualization
• Data analyst : 3 to 4 years
• Powerbi : 3 to 4 years
• Database developer : 3 to 4 years

Competences:

• Business Analysis and Requirements gathering
• Critical Thinking: Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems
• Active Learning: Understanding the implications of new information for both current and future problem-solving and decision-making
• Systems Analysis: Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes
• Complex Problem Solving: Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions
• Knowledge of the following will be beneficial:
• Agile Development methodologies with working experience in such an environment
• Advanced Analytics: Alteryx, Python and R, AI and Machine Learning
• Big data: Hive, Pig, Flume, Sqoop, Uzi, Hadoop and Spark
• RPA and related tools such as UI Path
• Bots