Take On / Data Migration Consultant (POS24082a)
Somerset West
R 15 000 telephone, emails, and online meetings.
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ent knowledge of relational and dimensional data models and reporting techniques
Qualifications
Talend
and experienced Data Scientist with a robust background in data analysis, machine learning learning, and statistical modeling. Demonstrates proficiency in leveraging advanced analytical techniques and R, as well as expertise in SQL for efficient data manipulation. Excellent problem-solving skills, exploring emerging technologies and methodologies in the data science field.Â
What you’ll do statistical analysis, forecasting, predictive modelling, simulation and optimisation. to Identify, explore
• Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information that enable data extraction and transformation for predictive or prescriptive modelling • Responsible Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets • Modern code development practices
statistical analysis, forecasting, predictive modelling, simulation, and optimisation to discover trends statistics, mathematics, operational research, economics, data engineering, risk management, or equivalent industry analytics, model building, and optimization.
As a specialist recruitment consultant within the IT industry, my clients and I are constantly on the the lookout for accomplished Data Engineers with strong academics, robust project experience and technical experience
Ensure all data is processed, approved, accurate and trustworthy. Confirm that all required data documents
all incoming internal and external queries on the data reports.
Responsibilities
data documents
processing data from over 200 source systems. The role involves cleaning and aggregating data through our will improve and streamline processes regarding data flow and quality, working both independently and ent knowledge of relational and dimensional data models and reporting techniques
Qualifications
Talend
Responsibilities: Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information that enable data extraction and transformation for predictive or prescriptive modelling Responsible for Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets Modern code development practices Extensive