About this role
The Business Intelligence Analyst is responsible for preparing business intelligence analyses, dashboards, and reports that enable data-driven decision-making across the organization. This role gathers reporting requirements, extracts and analyzes data from multiple sources, ensures data quality, and delivers timely insights to stakeholders. The Business Intelligence Analyst collaborates with cross-functional teams to understand business needs, develop standardized reporting solutions, and continuously improve reporting processes using best practices in analytics and visualization.
Key Responsibilities
Gather, analyze, and document business reporting requirements from stakeholders.Extract, transform, validate, and analyze data from operational systems, databases, and reporting platforms to generate meaningful business insights.Develop, maintain, and deliver recurring reports, dashboards, and visualizations using globally standardized reporting practices.Perform quality assurance and validate data accuracy to ensure reliable reporting and sound business conclusions.Select appropriate analytical methods and techniques to solve business problems and support decision-making.Conduct data analysis, data mining, trend analysis, root cause analysis, and hypothesis testing to identify patterns and actionable insights.Convert business challenges into analytical use cases and communicate findings through clear visualizations and presentations.Ensure timely delivery of reports and analyses while maintaining high standards of accuracy and quality.Collaborate with senior analysts, business leaders, and cross-functional stakeholders to clarify reporting objectives and analytical requirements.Support continuous improvement of reporting processes, dashboards, and business intelligence solutions.Maintain effective communication with stakeholders regarding reporting outcomes, analytical findings, and recommendations.Support data governance initiatives by identifying and resolving data quality issues.Demonstrate Cummins Leadership Behaviors by fostering collaboration, continuous learning, innovation, inclusion, and accountability. Skills
Technical Skills
Business Intelligence and reporting principlesData analysis, interpretation, and visualizationData mining and exploratory data analysisData quality management and validationDashboard development and reporting best practicesRoot cause analysis and problem-solvingStatistical analysis and quantitative reasoningStrong proficiency in Microsoft Excel and Power BIExperience working with SQL and relational databasesUnderstanding of business intelligence methodologies and reporting frameworks Analytical Skills
Strong analytical and critical thinking abilitiesAbility to identify trends, patterns, and actionable insights from complex datasetsExperience performing data mining, root cause analysis, and hypothesis testingAbility to translate business problems into analytical solutionsStrong attention to detail with a focus on data accuracy and quality Soft Skills
Excellent written and verbal communication skillsStrong presentation and storytelling with data capabilitiesEffective stakeholder management and collaborationCustomer-focused mindset with strong business acumenHigh level of ownership and accountabilityAbility to prioritize multiple assignments and meet deadlinesAdaptability and willingness to learn new tools and technologiesStrong teamwork and cross-functional collaboration skills Preferred Skills
Exposure to Python for analytics or automationExperience with Microsoft Azure Machine Learning, Microsoft Fabric, or DatabricksKnowledge of advanced analytics and automation platformsMicrosoft Power BI Data Analyst (PL-300) certification or equivalent is preferred Experience
0-3 years of experience in Business Intelligence, Reporting, Data Analytics, or a related analytical field.Experience analyzing business data and developing clear, accurate, and actionable insights is required.Experience supporting customer-focused organizations or business functions is preferred.Experience developing dashboards, recurring reports, and business performance metrics is desirable.Experience working with cross-functional stakeholders and presenting analytical findings to business audiences is preferred. Qualifications
Education
Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Mathematics, Information Systems, Engineering, or another quantitative discipline is required.An equivalent combination of education and relevant experience will also be considered.This position may require licensing for compliance with export controls or sanctions regulations. Job Sales
Organization Cummins Inc.
Role Category On-site with Flexibility
Job Type Exempt - Experienced
ReqID 2433704
Relocation Package No
100% On-Site No