Analytics Engineer

About us . Epiroc is a global productivity partner for mining & construction customers and accelerates 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. Learn more at

We succeed in our core business because we are passionate innovators with 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. Recognition for your hard work includes:

* 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

Join Our Team as a Analytics Engineer at Epiroc!

Would you like to work together with highly skilled and motivated colleagues who challenge you to think differently and grow professionally? We are looking for an Analytics Engineer to join our Global Data Analytics team and help deliver modern, business‑critical analytics solutions at scale.

You will work at the intersection of business and technology, partnering closely with stakeholders, platform teams, and AI initiatives. The environment is collaborative, engineering‑focused, and outcome‑driven, with strong standards, modern tooling, and clear ownership. Working closely with business stakeholders, users, and development teams in an iterative and communicative fashion, you will identify business requirements and transform them into user‑centric, scalable analytics solutions.

You act as an ambassador for Business Intelligence and Data Analytics practices and standards across the organization, ensuring consistency, quality, and long‑term sustainability. Using technical expertise, creativity, and experience, you design and deliver innovative analytics solutions that enable smarter decision‑making and drive strategic business outcomes.

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

Knowledge/

Education:

* 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 and Abilities:

* Strong business mindset, translating stakeholder needs into clear analytical solutions and data models

* Proactive and ownership‑driven,…