Data Consultant - Central Johannesburg
RAW AMBITION
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively. 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Building and testing predictive models to forecast future trends and outcomes. 6. Reporting: Creating reports and presentations that summarize findings and recommendations. 7. Collaboration: Working collaboratively with other members of the data science team and other departments to identify business problems and develop solutions. 8. Programming: Developing scripts and code in SQL to automate data analysis and streamline workflows. 9. Microsoft Azure 10. Data factories 11. MS Fabric The post Data Consultant appeared first on freerecruit.co.za .
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