Analytics Engineer

About us

Epiroc is a global productivity partner for mining & construction customers, accelerating the transformation toward a sustainable society. With ground-breaking technology, we develop and provide innovative and safe equipment, such as drill rigs, rock excavation, and construction equipment and tools for surface and underground applications. We also offer world-class service and other aftermarket support as well as solutions for automation, digitalization, and electrification. Our global headquarters is based in Stockholm, Sweden, and we have around 18,000 passionate employees supporting and collaborating with customers in over 150 countries around the world.

We succeed in our core business because we are passionate innovators with the courage to change. With collaboration and mutual confidence, teams and individuals trust and support each other’s abilities to offer solutions. Together, we lead the way to make mining and construction more sustainable. Epiroc offers rewarding experiences and professional growth opportunities.

Responsibilities

• Translate business needs into scalable data models, technical specifications, and delivery plans
• Design and maintain modern data platforms (warehouse / lakehouse) using Microsoft Fabric and Databricks
• Develop and deliver Power BI dashboards and reports, including advanced calculations and visualizations
• Enable data-driven decisions by defining KPIs and delivering actionable insights
• Build and optimize data pipelines using SQL and Python for efficient data transformation
• Drive data quality, documentation, and continuous improvement of analytics platforms and processes

Requirements

• Strong expertise in SQL, including complex queries, performance tuning, and data optimization
• Proven experience with Python and Databricks for data engineering, transformation, and pipeline development
• Hands-on experience with Microsoft Fabric and Power BI for building scalable analytics solutions and dashboards
• Solid understanding of data modeling techniques to translate business requirements into structured datasets
• Experience defining, tracking, and analyzing KPIs to support data-driven decision-making
• Ability to work effectively in agile, cross-functional environments, collaborating with business and technical stakeholders

Skills

• Strong business mindset, translating stakeholder needs into clear analytical solutions and data models
• Proactive and ownership-driven, independently identifying data issues, gaps, and improvement opportunities
• Highly collaborative, working effectively with business users, analysts, and engineering teams
• Detail-oriented with a strong focus on data quality, accuracy, and reliability
• Strong problem-solving approach, combining SQL, Python, Databricks, and Fabric to deliver scalable solutions
• Communicative and transparent, able to explain technical concepts clearly to non-technical stakeholders
• Continuous learner, staying current with modern data platform capabilities and analytics engineering best practices

Benefits

• Benefits eligibility begins the 1st of the month after start date
• Health care eligibility - including medical, dental, vision, prescription, and telemedicine
• Wellness program
• Employee discounts
• Short and long-term disability insurance
• Life and AD&D insurance
• Flexible Spending Accounts (FSAs) and Health Savings Account (HSA)
• Employee Assistance Program
• 401(k) plan
• Direct deposit
• Tuition reimbursement program
• Paid Vacation
• Paid Sick Time

The work environment reflects typical conditions encountered while performing the essential functions of this role in an office setting. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. The noise level is generally low to moderate.