Analytics Engineer

Analytics Engineer – Epiroc

Location:

Garland, TX 75040
Country/Region: US
City:
Garland
Work Model:
Hybrid (Onsite or Remote)

Epiroc is a global productivity partner for mining and 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 aftermarket support, solutions for automation, digitalization, and electrification. Our global headquarters is based in Stockholm, Sweden, with around 18,000 employees worldwide.

We succeed in our core business because we are passionate innovators with the courage to change. Collaboration, mutual confidence, and trust enable teams and individuals to offer solutions and lead the way to make mining and construction more sustainable.

• Benefits eligibility begins the 1st of the month after start date.
• Health care eligibility – medical, dental, vision, prescription, and telemedicine.
• Wellness program.
• 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.
• Paid Vacation.
• Paid Sick Time.

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.

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

• 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.

• 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.

• 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…