Business Intelligence Analyst

Role Overview: As a Business Intelligence Analyst at Cummins Inc., you will be responsible for preparing and delivering accurate, data-driven analyses and reports to key stakeholders. Your role will involve gathering reporting requirements, analyzing datasets, validating findings, and ensuring effective communication of analytical outcomes. By collaborating closely with senior BI analysts and leaders, you will contribute to enhancing business performance through data intelligence and supporting Cummins global reporting standards. Key Responsibilities: - Gather, document, and analyze reporting requirements to deliver recurring and ad-hoc business intelligence reports. - Extract data from operational systems and reporting databases to develop insights and support decision-making. - Perform quality assurance and validate findings to ensure the accuracy and reliability of analytical conclusions. - Apply appropriate analytical and visualization methods to solve business problems and communicate results effectively. - Develop and maintain globally standardized dashboards and reports using Cummins BI tools and frameworks. - Collaborate with the Business Intelligence Analyst - Senior and Business Intelligence Leader to clarify objectives, refine analyses, and ensure stakeholder alignment. - Communicate insights and recommendations to stakeholders, promoting data-driven decision-making across business units. - Demonstrate Cummins Leadership Behaviors consistently, contributing to a culture of collaboration, inclusion, and innovation. Qualifications Required: - Education: Bachelor's degree in Data Science, Computer Science, Engineering, Economics, Statistics, Mathematics, or a related quantitative field is required. - Technical Skills: Proficiency in SQL for writing simple queries, understanding joins, and foundational knowledge of BI tools such as Power BI, Tableau, or advanced Excel. - Programming: Exposure to Python or R for data analysis or scripting. - Data Analytics & Mining: Ability to extract, interpret, and visualize data to identify trends, relationships, and actionable insights. - Experience: Prior experience in analyzing data and generating actionable insights is required, while exposure to data analytics, visualization, or database management through academic projects or internships is preferred. - Professional Competencies: Effective communication, analytical thinking, adaptability, tech-savviness, self-development, and action-oriented mindset are essential for success in this role. Additional Details: This role may require collaboration across different time zones and functions, with flexible working hours applicable to meet global reporting timelines and business needs. Please note that the relocation package is not available for this position.,