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 epirocgroup.com. 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, 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 This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Employees are held accountable for all duties of the job. Any background check conducted will be evaluated through an individualized assessment, taking into account the job’s specific requirements and the candidate’s circumstances. Employment at Epiroc is “at‑will,” which means that either you or the company can terminate the employment relationship at any time, with or without prior notice, and for any reason not prohibited by statute, in accordance with state and federal guidelines. All employment is continued on that basis. No supervisor, manager or executive of the company, other than the General Manager in a signed writing, has any authority to alter the foregoing. Signature of this document serves as acknowledgment of receipt and does not create a contract of employment. Epiroc is an equal opportunity/affirmative action employer . All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. 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. #J-18808-Ljbffr