Oracle EBS Data Analyst

4 days ago


Melbourne, Victoria, Australia HCM Australia Full time
About the Role

We are seeking a highly skilled Technical Data Analyst to join our team at HCM Australia. As a key member of our ERP Program, you will play a crucial role in driving the successful design, implementation, and maintenance of our Oracle E-Business Suite.

Key Responsibilities
  • Lead and oversee the technical aspects of the ERP Program, ensuring seamless integration and optimal performance.
  • Analyze technical data and performance metrics to derive insights and optimize decision-making, driving business growth and improvement.
  • Collaborate with cross-functional teams, including developers, designers, and program stakeholders, to achieve program objectives.
  • Develop and maintain technical documentation, including system specifications, design documents, and technical diagrams.
  • Design, implement, and maintain ETL processes using Alteryx, SSIS, AWS Glue, Azure Data Factory, and Google Cloud Data Flow.
  • Develop and maintain business intelligence and visualization tools, including Power BI and Tableau.
Requirements
  • 5 years of experience as a Data Analyst (SQL - expert required, and/or Python - desired) or related roles.
  • Strong experience with Oracle e-Business Suite (12.1.* and above - required) HR and Finance modules data analysis, data extraction, data profiling, data quality assessment, anomaly and outlier detection, and data migration.
  • Strong experience with ETL technologies, including Alteryx (required), SSIS (preferred), AWS Glue, Azure Data Factory, Google Cloud Data Flow, and Informatica.
  • Strong hands-on experience and technically proficient with business intelligence and visualization tools, including Power BI (required) and Tableau.
  • Preferred experience with ERP systems data migration (Oracle to Workday or any other ERP system to Workday).
  • Preferred experience within the University sector.
  • Preferred experience with dimensional data modeling concepts.
  • Desired experience with cloud platforms, including AWS, Google Cloud, and Azure.
  • Desired strong hands-on experience and technically proficient with exploratory data analysis skills using Python and Python libraries, including modular programming.


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