Business Intelligence Analyst

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.

• 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.

• Business Intelligence and reporting principles
• Data analysis, interpretation, and visualization
• Data mining and exploratory data analysis
• Data quality management and validation
• Dashboard development and reporting best practices
• Root cause analysis and problem-solving
• Statistical analysis and quantitative reasoning
• Strong proficiency in Microsoft Excel and Power BI
• Experience working with SQL and relational databases
• Understanding of business intelligence methodologies and reporting frameworks

• Strong analytical and critical thinking abilities
• Ability to identify trends, patterns, and actionable insights from complex datasets
• Experience performing data mining, root cause analysis, and hypothesis testing
• Ability to translate business problems into analytical solutions
• Strong attention to detail with a focus on data accuracy and quality

• Excellent written and verbal communication skills
• Strong presentation and storytelling with data capabilities
• Effective stakeholder management and collaboration
• Customer-focused mindset with strong business acumen
• High level of ownership and accountability
• Ability to prioritize multiple assignments and meet deadlines
• Adaptability and willingness to learn new tools and technologies
• Strong teamwork and cross-functional collaboration skills

• Exposure to Python for analytics or automation
• Experience with Microsoft Azure Machine Learning, Microsoft Fabric, or Databricks
• Knowledge of advanced analytics and automation platforms
• Microsoft Power BI Data Analyst (PL-300) certification or equivalent is preferred

• 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.

• 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.