Analytics Engineer

Position: Analytics Engineer

Location: Bengaluru, India

Company: Epiroc Mining India Ltd

About the Role
As an Analytics Engineer at Epiroc, you will play a crucial role in designing and delivering scalable, high-quality analytics solutions that transform business requirements into trusted data products. Your expertise will enable data-driven decision-making across key business functions and support the advancement of self-service analytics platforms using cutting-edge technologies such as Databricks and Microsoft Fabric.

Key Responsibilities

• Translate complex business requirements into robust, scalable data models, pipelines, and end-to-end analytics solutions tailored for enterprise needs.
• Design, build, and maintain high-performance data products on modern data platforms like Databricks and Microsoft Fabric, ensuring flexibility and scalability.
• Develop and fine-tune Power BI semantic models and interactive reports, empowering stakeholders with accessible and insightful self-service analytics.
• Implement and uphold rigorous data governance, quality assurance, and comprehensive documentation standards to maintain data integrity and transparency.
• Collaborate cross-functionally with business units, data scientists, and engineering teams to deliver actionable, business-critical insights that impact Service, Finance, and other strategic functions.
• Contribute to establishing and enhancing DevOps practices, including version control (Git), continuous integration and deployment (CI/CD), and code review processes to foster code quality and operational excellence.
• Support mentoring initiatives for junior team members, promoting best practices in analytics engineering and fostering knowledge sharing within a collaborative team culture.

Required Skills and Experience

• Proficiency with SQL and Python for creating and optimizing complex data pipelines and transformations in large-scale data environments.
• Hands-on experience with Databricks and/or Microsoft Fabric in lakehouse architectures, demonstrating an ability to work with modern data platforms.
• Demonstrated expertise in data modeling concepts and delivering scalable analytics solutions optimized for performance and usability.
• Advanced Power BI skills, including building semantic models, report development, and enabling self-service analytics capabilities.
• Strong knowledge of data governance frameworks, data quality processes, and maintaining thorough documentation.
• Experience employing version control systems and DevOps workflows (Git, CI/CD pipelines, code reviews) to manage analytic codebases efficiently.
• Excellent problem-solving skills and a proactive ownership mindset, coupled with the ability to clearly communicate technical concepts to diverse stakeholder groups.
• A relevant degree or equivalent industry experience complemented by several years in analytics or data engineering roles.

Preferred Qualifications

• Experience designing end-to-end data platform architectures with a focus on performance optimization and scalability.
• Familiarity with enabling self-service analytics environments and business-facing analytics solutions.
• Exposure to Azure cloud services and the wider Azure data ecosystem.
• Advanced knowledge of CI/CD automation and sophisticated DevOps practices.
• Experience mentoring or training less-experienced developers and contributing to team skill development.
• Background in advanced analytics or implementing machine learning workflows within Databricks environments.
• Comfort working within large global enterprises and distributed, cross-functional teams.

Why Join Us?
Joining Epiroc as an Analytics Engineer means you will work at the intersection of technology and business transformation. You'll contribute directly to impactful analytics solutions driving strategic decisions globally. This role offers:

• Impactful Work: Influence critical decisions in Service, Finance, and other vital functions through your analytical expertise.
• Innovative Environment: Engage with next-generation data platforms like Databricks and Microsoft Fabric, positioning you at the forefront of technology adoption.
• End-to-End Ownership: Partner with stakeholders throughout solution development, from initial concept to deployment and ongoing improvements.
• Professional Growth: Benefit from a strong culture of continuous learning, upskilling, and mentoring opportunities.
• Global Collaboration: Work alongside diverse teams spanning multiple regions, broadening your business and technical perspective.
• Inclusive Culture: Thrive in a supportive environment that values innovation, teamwork, knowledge sharing, and mutual respect.

Desired Behaviors

• Ownership: Take full accountability for your deliverables, proactively addressing challenges to deliver end-to-end solutions.
• Business Orientation: Focus on practical analytics solutions that deliver clear value and align with business priorities.
• Collaboration: Work effectively across global cross-functional teams encompassing business, platform, and engineering.
• Effective Communication: Articulate technical ideas clearly to both technical peers and non-technical stakeholders.
• Commitment to Quality: Uphold high standards for data accuracy, reliability, and detailed documentation.
• Problem Solving: Approach challenges analytically using modern tools and methodologies.
• Continuous Improvement: Seek opportunities to enhance processes, tools, and team productivity.
• Adaptability: Stay current with emerging technologies and adapt swiftly to change.
• Mentorship: Contribute to the growth of colleagues through sharing knowledge and supporting skill development.

If you are excited by the prospect of shaping how data empowers decision-making on a global scale and meet the above qualifications, we invite you to apply for this rewarding role where your skills and dedication will make a tangible difference.

We are committed to diversity and inclusion and welcome candidates from all backgrounds to apply.