Power BI & Asset Analytics Specialist

Acerez Services Pty Ltd

Mudgee

On-site

AUD 90,000 - 130,000

Full time

9 days ago

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Job summary

Acerez Services Pty Ltd is seeking a data analytics professional to transform asset, maintenance and business data into actionable insights within NSW. You will ensure the integrity of the Enterprise Asset Management System data, consolidate planning, asset data and reporting functions, and collaborate with the maintenance team to improve reliability and decision-making.

You will develop BI solutions, dashboards and KPI reporting frameworks, translating complex data for diverse audiences while

Qualifications

Degree in Data Science, Analytics, Engineering, Computer Science, Information Systems, Statistics or Business Analytics (preferred).
5+ years' experience in Data Analytics, Business Intelligence, Reporting Analytics, Asset Analytics or Maintenance Analytics roles.
Demonstrated experience developing Power BI dashboards and KPI reporting frameworks, with strong DAX, Power Query and SQL skills.
Experience working with large operational datasets in maintenance, utilities, energy, mining, infrastructure or engineering environments.
An organised, methodical and analytical mindset, with the ability to translate complex technical findings into clear business outcomes.
Exposure to predictive maintenance or reliability analytics highly regarded.

Responsibilities

Analyse asset, maintenance, operational and business data to identify trends, risks, performance issues and improvement opportunities.
Develop, maintain and continuously improve business intelligence solutions, analytics models, dashboards and reporting frameworks that support operational, tactical and strategic decision-making.
Translate complex technical data into clear business insights and recommendations for diverse audiences.
Design, develop and maintain executive, operational and regulatory reporting suites using Power BI and other business intelligence tools.
Establish data quality standards, validation processes and reporting controls, and maintain data dictionaries and reporting standards
Build strong working relationships across the business to ensure data and reporting solutions align with organisational objectives and operational needs.