Business Intelligence Analyst - Senior

DESCRIPTION

At Cummins, we believe data-driven insights are fundamental to shaping smarter strategies and better business decisions. As a Senior Business Intelligence Analyst , you will be responsible for preparing advanced and interpretive business analyses and reports, using cutting-edge tools and techniques to solve complex business challenges. You will collaborate across functions to develop models, dashboards, and forecasts, empowering the organization with clear, actionable intelligence.

Key Responsibilities

• Collaborate with stakeholders to gather reporting requirements and translate them into meaningful data insights through recurring and ad-hoc reporting.
• Apply advanced data modeling, statistical analysis, and machine learning to uncover trends, validate hypotheses, and drive data-backed decisions.
• Design, develop, and deploy business intelligence solutions using globally standardized and/or custom dashboards and reporting formats.
• Perform quality assurance checks and test conclusions to ensure accuracy and reliability.
• Interpret analytical results, providing insights and recommendations for operational improvement.
• Plan and manage the full lifecycle of assigned BI projects including design, budget, stakeholder communication, and integration.
• Guide and mentor analysts on best practices in BI tools, data visualization, and storytelling.
• Continually enhance the usability and accessibility of reports to support efficient decision-making.
• Develop roadmaps for the adoption and maintenance of new business intelligence tools and methodologies.
• Champion the Cummins leadership culture by demonstrating leadership behaviors and fostering collaboration.

• Advanced Technical Skills:
• Power BI (Advanced)
• Data Modeling
• DAX
• Statistical Analysis
• Deep Learning (Machine Learning) and Large Language Models (LLMs)
• Predictive Modeling, Feature Engineering, Sampling Strategies.
• Programming:
• Experience writing and testing code aligned with technical and compliance best practices.
• Data Analysis & Modeling:
• Hands-on experience in statistical modeling for forecasting and classification.
• Strong understanding of data mining, pattern recognition, and hypothesis validation.
• Problem Solving:
• Proven ability to apply structured methods to identify root causes, implement corrective measures, and prevent recurrence.
• Experience mentoring or coaching junior team members in analytical problem-solving.
• Professional Competencies:
• Communicates Effectively
• Cultivates Innovation
• Nimble Learning
• Optimizes Work Processes
• Plans and Aligns
• Self-Development
• Tech Savvy
• Customer Focus
• Manages Complexity
• Values Differences
• Data-Centric Competencies:
• Data Analytics: Discovery, interpretation, and presentation of data to drive business decisions.
• Data Mining: Identification of patterns and relationships through advanced exploration techniques.
• Data Quality: Identification and correction of data flaws to ensure reliable reporting and governance.
• Machine Learning: Application of supervised and unsupervised techniques for real-world business solutions.
• Project Management:
• Proven ability to manage projects balancing scope, schedule, and resources to deliver results and ensure impact.
• Preferred Experience:
• Experience supporting customer-focused environments.
• Experience with AI platforms such as R, Einstein, or other machine learning frameworks.

• Bachelor's degree in Data Science, Economics, Computer Science, Statistics, or a related quantitative field is required.
• Equivalent experience and demonstrated competence in business intelligence roles will also be considered.
• This position may require licensing for compliance with export controls or sanctions regulations.