Analytics Engineer

Epiroc Drilling Solutions, LLC; Garland (TX); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Health care eligibility

401(k) plan

Paid Vacation

Flexible Spending Accounts (FSAs)

Job summary

Epiroc Drilling Solutions, LLC in Garland, Texas is looking for an Analytics Engineer to join their Global Data Analytics team. This role involves collaborating with stakeholders to develop scalable analytics solutions, leveraging SQL, Python, and Microsoft Fabric.

The ideal candidate will possess strong skills in data modeling and have experience with Power BI to drive data-driven decisions and improve business outcomes. Epiroc offers competitive benefits and a progressive work environment focused on technology and innovation.

Qualifications

• Strong expertise in SQL including complex queries, performance tuning and optimization.
• Proven experience with Python and Databricks for pipeline development.
• Hands-on experience with Microsoft Fabric and Power BI for analytics solutions.

Responsibilities

• Translate business needs into scalable data models and delivery plans.
• Design and maintain modern data platforms using Microsoft Fabric.
• Develop and deliver Power BI dashboards and actionable insights.

Skills

SQL expertise

Python skills

Data modeling

Power BI proficiency

Collaborative mindset

Problem-solving ability

Education

Degree in Computer Science, Data Science, or related field

Tools

Microsoft Fabric

Databricks

Job description

Join Our Team as an 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.

Benefits:

• Benefits eligibility begins the 1st of the month after start date
• Health care eligibility – including 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

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.

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.