requirements Understand and document data requirements for the project End to end data migration from existing catalogue career architecture Data mapping, analysis, reconciling data outliers Completing data gaps Interpreting Interpreting and structuring data sets Addressing specific business challenges with analytical solutions Working Working with other departments to understand their data needs and help them make informed decisions Preparing compelling reports and presentations to communicate data insights and findings to stakeholders Skills and
Responsibilities:
skills
Qualifications
Talend
and experienced Data Scientist with a robust background in data analysis, machine learning 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 explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex effective and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business
Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports the Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information formats • Develop and test architectures that enable data extraction and transformation for predictive or testing. Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout in extracting value and features from large scale data and toolsets • Modern code development practices
statistics, mathematics, operational research, economics, data engineering, risk management, or equivalent industry
I are constantly on the lookout for accomplished Data Engineers with strong academics, robust project experience
documentation for all vendor sales, commercial and residential collections. Ensure all data is processed, approved
accurate and trustworthy. Confirm that all required data documents are completed in full. Complete the monthly
clients or assist with these reports. Attend to all incoming internal and external queries on the data reports
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 skills
Qualifications
Talend
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or testing. Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout in extracting value and features from large scale data and toolsets Modern code development practices Extensive