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    2 information management, business intelligence & data analytics jobs found in Macquarie Park, New South Wales

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      • sydney, new south wales
      • contract
      • it & ict
      Job Opportunity: Data Quality ManagerRole Type: Initial 12- 18 Month ContractLocation: Sydney CBD (Hybrid – Min 3 days in-office) Excellent Daily Rate. The OpportunityWe are seeking a Data Quality Manager for a high-profile, tech-enabled transformation. This role acts as a critical bridge between technical delivery streams and executive leadership. You will be responsible for translating complex data analysis into strategic insights for senior stakeholders
      Job Opportunity: Data Quality ManagerRole Type: Initial 12- 18 Month ContractLocation: Sydney CBD (Hybrid – Min 3 days in-office) Excellent Daily Rate. The OpportunityWe are seeking a Data Quality Manager for a high-profile, tech-enabled transformation. This role acts as a critical bridge between technical delivery streams and executive leadership. You will be responsible for translating complex data analysis into strategic insights for senior stakeholders
      • sydney, new south wales
      • contract
      • it & ict
      *Hydro Data Engineer *$732.51 - $745.03 inc super *Parramatta location Role purpose:This position will have responsibility for developing, optimising and operationalising a contemporary automated water resources models and analytics tools, for hydraulic, hydrologic and water management applications.The role will also incorporate data-driven modelling approaches, leveraging advanced analytics, machine learning, and statistical methods to complement traditio
      *Hydro Data Engineer *$732.51 - $745.03 inc super *Parramatta location Role purpose:This position will have responsibility for developing, optimising and operationalising a contemporary automated water resources models and analytics tools, for hydraulic, hydrologic and water management applications.The role will also incorporate data-driven modelling approaches, leveraging advanced analytics, machine learning, and statistical methods to complement traditio

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