Asset Analytics & Power BI Specialist

ACEREZ

Mudgee

On-site

AUD 120,000 - 160,000

Full time

6 days ago

Be an early applicant

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Job summary

ACEREZ is seeking a data analytics professional to transform asset, maintenance and business data into actionable insights within a 35-year asset lifecycle. You will manage EAMS data quality, consolidate planning, asset data and reporting, and collaborate with Assets Manager, Asset Engineers and Maintenance teams to deliver analytics and reporting.

Responsibilities include developing BI solutions, translating complex data into business insights, and creating KPI dashboards using Power BI.

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.