Data Analytics Specialist for Maintenance & Reliability

BHP; Brisbane; On-site; AUD 90,000 - 150,000; Full time

Job summary

BHP's MECoE Brisbane is seeking a Specialist Data Analyst to join the Data Analytics team, evaluating maintenance datasets and delivering diagnostics that improve productivity and cost outcomes across global operations. You will work with operations and data scientists to identify improvement opportunities, structure analyses, and present clear recommendations to senior stakeholders.

This role blends technical analytics with advisory engagement, helping translate complex data into practical

Qualifications

• Relevant tertiary qualification in Engineering, Science, Data Science or related quantitative discipline.
• Strong SQL and Python skills, with experience building reusable datasets, data models and data pipelines for analytics.
• Experience working with large and complex datasets, including data transformation, validation and quality assurance.
• Demonstrated problem-solving ability, with experience investigating complex business issues, structuring analysis and developing evidence-based recommendations.
• Ability to work effectively with technical and operational stakeholders.
• Ability to distil analytical findings into clear and influential narratives for senior audiences.

Responsibilities

• As a Data Analyst, you will work on high-impact diagnostics across BHP's maintenance portfolio.
• You will analyse complex operational and maintenance data, identify improvement opportunities and develop clear recommendations for senior stakeholders.
• The role combines technical analytics with advisory engagement and you will communicate actionable insights that influence decisions across some of the world's largest mining operations.
• Working alongside data scientists, analysts and maintenance professionals, you will help translate complex data into practical actions and measurable business outcomes.

Skills

SQL

Python

Education

Bachelor's degree in Engineering, Science, Data Science or related quantitative discipline

Job description

Specialist Data Analyst | MECoE | Brisbane

BHP's Maintenance and Engineering Centre of Excellence (MECoE) are the coming together of a dedicated, innovative team focused on identifying, achieving, and maintaining the highest standards in maintenance for BHP globally. Your diversity of thought and experience will be embraced, and you will be empowered to make a real difference in our business.

You will utilise innovative approaches, tools, and technology to add real value to our teams – setting new standards to guide improvement activity, transforming services, and supporting our people.

About the Role

BHP's Data Analytics team manages critical maintenance datasets and delivers data-driven diagnostics that help improve maintenance productivity and cost outcomes across BHP's global operations. Combining advanced analytics with deep operational understanding, the team partners with operations to identify improvement opportunities and support evidence-based decision making.

As a Data Analyst, you will work on high-impact diagnostics across BHP's maintenance portfolio. You will analyse complex operational and maintenance data, identify improvement opportunities and develop clear recommendations for senior stakeholders.

The role combines technical analytics with advisory engagement. You will work through ambiguous business challenges, structure analytical investigations, interpret findings and communicate actionable insights that influence decisions across some of the world's largest mining operations. Working alongside data scientists, analysts and maintenance professionals, you will help translate complex data into practical actions and measurable business outcomes.

The role provides exposure to reliability engineering, asset management, maintenance strategy and operational improvement initiatives, while developing capability in problem solving, data storytelling and stakeholder engagement within a global resources business.

About You

As a successful candidate you will possess the following:

• Relevant tertiary qualification in Engineering, Science, Data Science or a related quantitative discipline.
• Strong SQL and Python skills, with experience building reusable datasets, data models and data pipelines for analytics.
• Experience working with large and complex datasets, including data transformation, validation and quality assurance.
• Demonstrated problem-solving ability, with experience investigating complex business issues, structuring analysis and developing evidence-based recommendations.
• Ability to work effectively with technical and operational stakeholders.
• Ability to distil analytical findings into clear and influential narratives for senior audiences.

Other highly regarded experience includes:

• Experience in mining, asset management, reliability engineering or other heavy industries.
• Experience in management consulting or operational improvement, preferably with a Tier 1 consulting firm.

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