Data Analyst
... and presenting conclusions & recommendations upon analysis of problems, evidence, and data Excellent verbal and written communication ...
... and presenting conclusions & recommendations upon analysis of problems, evidence, and data Excellent verbal and written communication ...
... you’ll do … Business and systems analysis, development, and testing, combined with business risk assessments and data quality monitoring. Manage end to ...
... advantage. Leveraging technical and data analysis skills will be critical to ... knowledge of multivariate analysis, generalised linear models, tree-based classification models, neural networks and other modern data mining and predictive modelling techniques ...
... details of streaming services and data collection, modeling and analysis. As an Data Product Manager, Total TV, you ...
... details of streaming services and data collection, modeling and analysis. As an Data Product Manager, Total TV, you ...
... are compliant with taxonomy standards, data standards, and data processes. Point of contact for ... dashboard development teams by providing data business rules, standards, and requirements ... of a standardised approach to data governance and help drive better ...
... a centre of excellence for data scientists across the bank maintaining ... AI Services team contribute to data science best practices, standards and ... development. Engage closely with the Data Engineering Practice and Data Science COE to ensure regular ...
... are compliant with taxonomy standards, data standards, and data processes.Point of contact for ... dashboard development teams by providing data business rules, standards, and requirements ... of a standardised approach to data governance and help drive better ...
... , construct, and optimize data lakes, CI CD, and Synapse ... and R Proficiency in data modelling including reuse and scalability ... technical projects. Experience building data profiling, data cleansing and data engineering frameworks. Will require Australian ...
... Experience with ETL processes and data integration Working knowledge of data modeling and database design principles Familiarity with big data technologies such as Hadoop, Spark, ...