Business Intelligence Analyst

DESCRIPTION The Business Intelligence Analyst is responsible for preparing and delivering accurate, data-driven analyses and reports to key stakeholders, supporting business decision-making through insights and visualization. The role involves gathering reporting requirements, analyzing datasets, validating findings, and ensuring effective communication of analytical outcomes. This position supports Cummins global reporting standards and collaborates closely with senior BI analysts and leaders to enhance business performance through data intelligence. 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. RESPONSIBILITIES Knowledge, Skills, and Technical Competencies: Technical Skills: SQL: Basic proficiency in writing simple queries and understanding joins. BI Tools: Foundational understanding of Power BI, Tableau, or advanced Excel for reporting and visualization. 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. Data Quality: Awareness of data integrity and governance principles for accurate reporting and decision support. Professional Competencies: Communicates Effectively: Clearly conveys information tailored to diverse audiences. Nimble Learning: Adapts quickly and learns from experimentation and feedback. Tech Savvy: Adopts and leverages emerging digital tools and technologies to enhance reporting and analytics. Analytical Thinking: Demonstrates problem-solving skills with a strong interest in data-driven decision-making. Self-Development: Seeks continuous growth through both formal and informal learning opportunities. Values Differences: Embraces diversity and leverages varied perspectives to drive innovation. Action Oriented: Takes initiative and approaches challenges with energy and enthusiasm. Work Environment: This role may require collaboration across time zones and functions. Flexible working hours may be applicable to meet global reporting timelines and business needs. QUALIFICATIONS Qualifications, Skills, and Experience: Education, Licenses, Certifications: Bachelors degree in Data Science, Computer Science, Engineering, Economics, Statistics, Mathematics , or a related quantitative field is required. Equivalent professional experience in data analytics, BI reporting, or a related field may be considered. Experience: Prior experience in analyzing data and generating actionable insights required. Exposure to data analytics, visualization, or database management through academic projects or internships preferred. Experience supporting a customer-focused organization is advantageous.