- Manage and prepare data for usability
- Moves data from the source systems into the transactional layer and identifies the data sources (internal & external) to be used to create data models
- Look after the day-to-day management of data feeds, ingestions, pipelines, modelling of data to feed the data lake and supporting the Data Analysts reporting needs
- Design and implement data management and/or architecture solutions for Azure Synapse and Integration Platform
- Design, implement and deploy data loaders to load data into Azure Synapse and Integration Platform
- Manage model degradation and identify opportunities for improved data analysis
- Focus on designing databases, software engineering, and making sure data is available for those who need it
- Filter, tag, join, parse, and normalise data sets for use in analytics models
- Manage model degradation / ensure models remain predictive
- Prepare data that is poor quality so that it can be used in statistical tools
- Assist the statistical modelers in filtering, tagging, joining, parsing, and normalising data sets for use in reports
- Assist the report analyst in pulling data
- Identify opportunities to tune/ improve data analysis
- Work with the data steward to resolve data quality issues
- Design and build statistical analysis models, machine learning models and other analytical modelling using the strategic analytics and integration technologies on large data sets
- Assist solution architect in the day-to-day configuration of the Azure Synapse VMT program environment readiness
- Assist ICT in complex SSIS, SSRS and other advanced SQL solution engineering
- Support the business transition into the new data analytics operational patterns (i.e., use of data lake, and Azure pipelines
- Masters or Bachelor’s degree in one or more of the following: Mathematics, Statistics, Economics, Engineering
- 2+ years designing and implementing large scale data loading, manipulation, processing, analysis and exploration solutions
- Understanding of master data management principles and processes
Graham Eather
e: graham.eather@troocoo.com