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Data Analyst

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Paragon Recruitment Limited

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Location:
New Zealand , Dunedin ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Reliable and accurate asset, inspection, and maintenance data is essential for effective decision-making, investment, and sustainable asset management. To support this, Aurora is rolling out a new Asset Management System (IBM Maximo) along with updated frameworks to improve data quality and operational efficiency. You will be instrumental in ensuring Aurora’s asset data is accurate, structured, and actionable.

Job Responsibility:

  • Analyse asset, inspection, and maintenance data to identify gaps, inconsistencies, and opportunities for improvement
  • Apply best-practice approaches to asset data structures, data flows, and preventative maintenance planning
  • Configure and implement data structures in IBM Maximo, including job plans, service plans, and maintenance schedules aligned to engineering standards
  • Work with field service partners, GIS, and integration teams to ensure data flows correctly from project design through to field execution
  • Support data migration, transformation, and validation to improve quality, completeness, and consistency
  • Document data models, processes, and data capture points to support handover to BAU teams
  • Collaborate with engineers, lifecycle managers, and change leads to embed data best practices into everyday workflows

Requirements:

  • Experience with asset, inspection, or maintenance data in an asset-intensive environment
  • Ability to analyse datasets to identify trends, gaps, and data quality issues, and propose improvements
  • Curiosity, independence, and ability to design and implement processes that maintain clean, structured, and AI-ready data
  • Excellent communication skills to work with engineers, field teams, and integration specialists

Nice to have:

  • Experience with IBM Maximo or similar Asset Management Systems
  • SQL and data analysis skills to extract, validate, and manipulate large datasets
  • A Tertiary qualification in data engineering, or computer science
  • Ability to create repeatable, scalable processes that ensure accurate and complete data capture
What we offer:
  • Competitive salary
  • A collaborative, high-performing team
  • Flexible location

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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