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Senior Consultant - Data Intelligence

Annual Salary Negotiable

Managers - ICT Managers

SA - Adelaide (Post code: 5000)

Recruiting numbers: 1

Expiration date: 06-Jan-2026

Full Time
09-Dec-2025 update visited:
Job requirements

Educational requirements: Bachelor

English requirements: Competent English

Requirements for skilled employment experience for years: 3-5 years

Required residence status: Temporary visa, Permanent resident, Citizen

Accept remote work: unacceptable

Senior Consultant – Data Intelligence with the following professional experience: Undertake client engagements by providing expert advice in the field of Data Management and Analytics Lead client engagements by providing expert advice in the field of Data Management and Analytics Data management, security, and quality, data analytics, reporting and diagnostic practices. Proven track record of turning operational data into outcomes that drive business opportunity (additional profit or contained costs) Data warehouse and data lake solutions Management of best-practice solutions and advisory services in Data Governance, Data Quality and Master Data Management. All phases of the project lifecycle – from scoping and planning, requirements, design, development, testing and deployment. Project management methodologies, including Agile Data integration with a range of data sources and tools to extract, transform and load data (SSIS, Informatica, SAP Data Services) Demonstrated application of best practice principles utilising current professional knowledge Demonstrated ability to deliver new capability to a business or client that makes economical business sense Tasks and Responsibilities Data solution Architecture design & review Data Storage design & Data Warehousing Data Modelling including dimensional, data vault Data Governance and Master Data Management Data Integration & migration Data Quality Management Data Life Cycle Management, Business Data Continuity, and Information Security Data Reporting, Visualisation, and mobile presentation Mature DevOps development approach to data outcomes Metrics Identification & Collection to support analytics Analytics – Descriptive, Diagnostic, Predictive, Prescriptive and Optimisation
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Last online time: 19-Jan-2024 11:28
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