EY Asset Health Data Analyst - AI 

Australia, Western Australia, Perth 

228437935

As an Asset Health Data Analyst at either the Senior Consultant or Manager rank, you will design, build and implement scalable data solutions that drive significant business value for our asset intensive clients. Collaborating closely with other data and analytics professionals, program teams, management, and stakeholders, you will play a pivotal role in the analytics landscape to help our clients in addressing their asset health and maintenance challenges. Your experience will enable you to comprehend and dissect business requirements, translating them into precise technical specifications. You will serve as a vital link between business stakeholders and technical teams, ensuring that the development process aligns seamlessly with the intended design and objectives.

In line with client requirements, highly desirable would-be familiarity with asset management and health experience of fixed plant equipment (e.g., conveyor belts, screen houses) or mobile equipment (e.g., drills, loaders, haul trucks, light vehicles).

In line with client requirements this role is based in our

Your key responsibilities

• Working with asset health datasets and the ability to join and connect key datasets together (e.g. notifications / workorders, equipment sensors, failures) to help interconnection of information from different systems.
• Navigating gaps in data quality and developing options to improve the health of the asset both in the short term and long term.
• Conduct data-driven equipment failure investigations, failure modes analysis, failure symptoms monitoring and identify data required to assist with the investigation.
• Be able to clearly explain key insights, strengths and weaknesses of data analysis options to both technical and senior business stakeholders.
• As required, coordinate the work of junior colleagues or team members to ensure structure and focus on achieving team goals.

Skills and attributes for success

• Experience with equipment failure investigations and understanding of what data will be required to assist with the investigation.
• Knowledge in understanding reliability engineering concepts and operational challenges in mining (i.e. condition based monitoring, equipment / asset strategies, mine site operating conditions).
• Knowledge with data pipeline development, including familiarity of various technologies across time-series data historians (e.g. AVEVA PI) and cloud data platforms (e.g. Databricks, Azure, AWS).
• Proficiency and demonstrated experience in transformation of large complex data sets from source systems to target platforms (experience in Azure and AWS based solutions using one or more data engineering or data platform technologies required)
• Evidence of experience in modern development practices including use of code repositories, code review processes, and test frameworks.

Ideally, you’ll also have the skills and attributes below, but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

• Ability to introduce innovative ways of organising, managing and integrating data to ensure its quality and ability to be used as a distinctive asset to generate a return.
• Leads by example and models behaviours that support a culture of safety, health and wellness.
• Excellent communication skills, and the ability to communicate and present information with purpose, clarity and impact

What we offer you

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences
• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
• A comprehensive benefits package : From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally

Acknowledgement of Country