Power BI Analytics Lead (Hybrid, Perth)

Epiroc Group; Perth; Hybrid; AUD 100,000 - 150,000; Full time

Job summary

Epiroc is seeking a Data Analytics Specialist based in Perth, Australia. You will design, develop, and maintain enterprise Power BI dashboards and reports to support daily operations and executive decisions.

You will model data using dimensional techniques, ensure data quality, and drive governance across datasets with collaboration from operational leaders and customers. This role emphasizes leadership, mentorship, and data literacy throughout the organization.

Qualifications

• Experience with time-series databases and telemetry data.
• Experience delivering scalable analytics on cloud data platforms.
• Extensive Power BI usage with DAX and Power Query.
• Proficient in SQL and data modelling techniques.
• Strong analytical and problem-solving skills with operational data.
• Proven stakeholder engagement across teams and functions.

Responsibilities

• Lead end-to-end development of Power BI dashboards for insights.
• Develop robust data models following dimensional modelling.
• Translate business needs into data-driven solutions.
• Analyze large mining tech datasets to identify trends and risks.
• Create and monitor KPIs and performance metrics.
• Ensure data quality and governance across systems.
• Build reusable semantic models for scalable reporting.
• Collaborate with leaders, ICT, training, and customers.
• Present findings to leadership and propose data-backed improvements.
• Mentor junior data analytics staff to raise report quality.

Skills

Power BI

SQL Queries

Data Modelling

Time-series DB

Databricks

Stakeholder Engagement

Data Storytelling

Communication

Tools

InfluxDB

Git

CI/CD

Python

Azure Data Services

Microsoft Fabric

Job description

Epiroc is seeking a Data Analytics Specialist based in Perth, Australia. You will design, develop, and maintain enterprise Power BI dashboards and reports to support daily operations and executive decisions.

You will model data using dimensional techniques, ensure data quality, and drive governance across datasets with collaboration from operational leaders and customers. This role emphasizes leadership, mentorship, and data literacy throughout the organization.