Data Analyst jobs in Australia, December 2022

Data Analyst

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Job Overview

LocationMelbourne, Victoria
Job TypeFull-time
Job id13098

Job Description

The Data Analyst is essential to making this happen and will—

  • As a Data Analyst, you will grow solutions to address a more positive user proficiency in reference data/ metadata delivery.
  • Document and review business glossary rules and business terms across the organization to ensure compliance with the specifications and the conceptual data model.
  • Help design and use metadata-related initiatives and instruments (business glossary, data catalog, data lineage, classification).
  • Analyze with data modeling analysis and growth.
  • Formalize, advertise and support Metadata sets and specifications documentation for projects or program end to end, as well as business-as-usual functions.

Role Location: 833 Collins Street, Docklands VIC 3008

Schedule: Full-Time

Role Type: 12-Month Opportunity

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Responsibilities of Data Analyst

Data Analyst
Data Analyst

Excellent data experience, including strong knowledge of what constitutes good data governance for Metadata / Reference Data principles and specifications.

  • Must have detailed information on business and data analysis duties, proficiency in elicitation techniques, and competence in requirements collecting.
  • Must have an Authentic track record in data-related business analysis, capturing business terminology and rules.
  • Potential to design metadata/reference data solutions to offer an excellent user experience.
  • Excellent knowledge of business glossary, metadata, data lineage, classification, data modeling, and reference data is necessary.
  • Must have a Strong understanding of project lifecycles, disciplines, and procedures, with significant knowledge and proficiency in working on mid to large-sized projects.
  • An encouragement for complex issues with the potential to work autonomously on tasks with a medium/high-level complexity and cooperatively as part of a team to represent consolidated findings
  • Potential to influence and negotiate while promoting the data standards and equipment. 

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