Education Required BSc (Eng or Comp Science or Information Systems) or BCom (Informatics) or equivalent NQF level 6 qualificationExperience Required 5 years Technical Experience (Knowledge and Exposure would be beneficial) 5 years Analysis ExperienceHard Skills Understand Core Modelling Principles (Logical and Physical) Knowledge of the IT trends, Data Warehouse and Data Architecture principles, practices and standards To understand and apply concepts such as Relational Data Structures, EntityRelationship and Object Modeling, Data Warehouse Marts Read Understand Code of any Language Write queries of any Language (Preferably SQL Scala) Problem solving and analytical skills Understandunpack the endtoend flow data (process) and impact due to changes in data across the value chain of the data (From CottontoCash) ie.
High Level Data Flow Diagrams, SourcetoTarget mappings etc. Ability to vary the depth of analysis from High Level (Rapid) to detailed analysis) Conceptual understanding of Data Visualization Data Virtualization JAD Facilitations Document and unpack Business Data Requirements through continuous Business and Tech Engagement Communication Skills (Verbal, Written)Tool Set Excel (Proficient) PL SQL, MS SQL, Oracle, DB2, MySQL HQL (Proficient) Scala or similar language useable in Spark PySpark, R, etc.
Knowledge and Exposure would be beneficial) Data Visualization Tools Tableu, QlikView, QlikSense, Excel, etc. (Intermediate) Data Virtualization Tools Denodo (Knowledge and Exposure would be beneficial) Big Data Knowledge (Intermediate)Competencies Analyse and resolve problems Deadline Driven Managing Tasks Meeting Timescales Team Working Impatient Driver (ProActive in resolving problem statements.
No hand holding required) Curious (Selfmotivated to learn new things and question things one don t fully understand not afraid to fail) Teachable (willing to learn and not afraid to ask)