Data Analytics Specialist

Epiroc is a leading productivity partner for the mining, infrastructure and natural resources industries. With cutting-edge technology, Epiroc develops and produces innovative drill rigs, rock excavation and construction equipment, and provides world-class service and consumables. The company was founded in Stockholm, Sweden, and has passionate people supporting and collaborating with customers in more than 150 countries. Learn more at www.epirocgroup.com.

Join our dynamic team at Epiroc, a leader in the mining technology sector, as a Data Analytics Specialist based in Perth, Australia. This full-time role within the Equipment & Service Business Area offers a unique opportunity to contribute to cutting-edge research and development initiatives. You will be part of an exciting new team committed to innovation and excellence, supporting both operational and strategic decision-making processes through advanced data analytics.

About the Role

As a Data Analytics Specialist, you will take a leading position in designing, developing, and maintaining enterprise-level Power BI dashboards and reports that are critical for day-to-day business operations and executive insights. Your expertise in data modelling, particularly with dimensional modelling techniques, will ensure that analytical solutions are robust, scalable, and aligned with best practices.

Your responsibilities will include translating complex business requirements into practical analytical tools, identifying trends, risks, and improvement opportunities by analyzing operational datasets such as LinkOA ADS and LinkOA AHS, and developing key performance indicators (KPIs), scorecards, and performance measures that support contractual and customer performance tracking.

You will manage data extraction and preparation activities, maintaining high standards of data quality, integrity, and consistency across all analytical outputs. Another key aspect of the role is to establish and uphold data governance frameworks, reporting standards, and quality assurance practices, fostering a culture of continuous improvement and innovation.

Key Responsibilities

• Lead the end-to-end development of Power BI dashboards and reports to provide actionable insights.
• Develop and maintain robust data models following dimensional modelling best practices.
• Translate complex business needs into effective data-driven solutions supporting operational and executive decision-making.
• Analyze large and diverse datasets from mining technology environments, particularly LinkOA ADS and LinkOA AHS, to identify trends and potential risks.
• Create and monitor KPIs and performance metrics aligned with business goals.
• Ensure data quality, consistency, and integrity across multiple systems and datasets.
• Develop reusable semantic models and datasets to promote scalability and consistency across reporting tools.
• Implement data governance, reporting standards, and quality assurance processes.
• Collaborate extensively with operational leaders, ICT, training teams, and customers to prioritize analytics development and enhance data literacy throughout the organization.
• Present complex analytical findings clearly to leadership and recommend data-supported improvements.
• Mentor junior data analytics staff to foster high standards in report quality and modelling.

Essential Competences and Skills

• Experience working with time-series databases, such as InfluxDB, and analysing large-scale operational telemetry data.
• Demonstrated experience delivering scalable analytics solutions using Databricks or other modern cloud data platforms.
• Extensive experience with Power BI, including strong capabilities in DAX and Power Query.
• Proficient in SQL querying and data modelling techniques.
• Strong analytical and problem-solving skills with an emphasis on operational data.
• Proven track record in stakeholder engagement across multiple teams and functions.
• Excellent written and verbal communication skills with the ability to convey data insights effectively.

Desirable Skills and Experience

• Experience using version control systems and DevOps practices (e.g., Git, CI/CD pipelines, and code reviews) to manage analytics codebases efficiently
• Exposure tomachine Learning, predictive modelling, or AI-driven analytics to enhance operational insights and support data-driven decision-making.
• Familiarity with Microsoft Fabric and Azure Data Services.
• Programming knowledge in Python or R for advanced analytics and automation.
• Experience with data governance frameworks and promoting data quality standards.
• Background in mining technology environments and specific knowledge of LinkOA ADS and LinkOA AHS systems.
• Automation experience to streamline data preparation and reporting processes.

Behaviors and Work Ethic

Success in this role requires strong strategic thinking, leadership, and mentoring abilities. You will be expected to engage in effective communication and data storytelling while building strong partnerships with business stakeholders. Analytical and problem-solving skills are paramount, alongside a continuous improvement mindset and a focus on governance and operational practicality.

Why Join Epiroc?

Working with Epiroc means being part of a forward-thinking organisation at the forefront of mining technology. Our commitment to innovation, quality, and sustainability creates an inspiring workplace where your skills will directly impact business success and the broader industry. This role offers professional growth opportunities, a collaborative environment, and the chance to work alongside some of the most talented experts in the field.

If you are passionate about leveraging data to drive business excellence and thrive in a dynamic, supportive environment, we encourage you to apply and become part of a team that values your expertise and fosters your development.