**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. **RESPONSIBILITIES** **Skills and Experience** + **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. **QUALIFICATIONS** **Qualifications** + 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. **Job** Sales **Organization** Cummins Inc. **Role Category** Hybrid **Job Type** Exempt - Experienced **ReqID** 2413900 **Relocation Package** No