Data Analyst Intern - Digital Solutions Division

## Join Our Team as a Data Analyst Intern at Epiroc! The Data Analyst Intern supports the Digital Solutions Division (DSD) through data analysis, digital tools, and technology initiatives that improve business performance and customer experience. This role provides hands-on experience with data management, business intelligence, digital transformation, and emerging technologies while collaborating with cross-functional teams to identify insights and support continuous improvement across Epiroc USA. ## Responsibilities: - Support Epiroc’s E-Commerce, RAC, and digital transformation initiatives through data management, system administration, and process improvement activities. - Assist with Salesforce administration, customer and dealer data mapping, and data cleanup to improve data quality, reporting accuracy, and business intelligence capabilities. - Develop Power BI dashboards, reports, and visualizations that translate data into actionable insights for customers, sales teams, and internal stakeholders. - Analyze customer, sales, equipment, and E-Shop data in collaboration with Data Analysts and cross-functional teams to identify trends and improvement opportunities. - Partner with Epiroc personnel on customer engagements, site visits, and strategic projects to gain insight into customer needs, business processes, and technology applications. - Support AI, analytics, and business optimization initiatives focused on improving operational efficiency, decision-making, and customer experience. - Complete assigned projects that contribute to Epiroc’s digital growth strategy, customer offerings, and continuous improvement objectives. - Prepare and present a final internship summary highlighting project outcomes, key findings, and recommendations to stakeholders. ## Knowledge/Education: - Currently enrolled and pursuing a degree in Data Analytics, Computer Science, Data Science, Industrial Engineering, Mechanical Engineering, Civil Engineering, Electrical Engineering, or related field of study - Anticipated Spring 2027 or Fall 2027 graduation date preferred - GPA 3.0 or higher - Proficiency in Microsoft Office applications, particularly Excel and PowerPoint; experience with Power BI or similar data visualization tools is preferred. - Experience with programming languages, database tools, SQL, or other data analysis technologies is preferred - Experience using Microsoft Copilot or similar AI platforms to improve efficiency, analyze information, create content, and support data-driven decision making ## Skills and Abilities: - Ability to work part-time, Monday through Friday, through the Fall 2026 and Spring 2027 semesters - Strong analytical and problem-solving skills with an interest in interpreting data, identifying trends, and developing actionable insights - Effective verbal, written, and presentation communication skills with the ability to communicate findings to technical and non-technical audiences - Strong organizational skills with the ability to manage assigned projects, prioritize tasks, and meet established deadlines - Self-motivated and collaborative with the ability to work effectively across teams and contribute to continuous improvement initiatives - Previous internship, academic project, or industry experience related to mining, technology, engineering, data analytics, or digital solutions is preferred