Business Intelligence Analyst

Key Responsibilities:

• Gather reporting requirements and analyze data to provide recurring reports.
• Perform quality assurance and test conclusions to ensure the validity of the analysis.
• Select appropriate analysis methods for given issues to provide the most accurate analysis.
• Deliver recurring reports and/or analyses to stakeholders on time.
• Extract data from operational systems and reporting databases to understand or make conclusions for decision-making purposes.
• Use globally standardized dashboards and best reporting practices to support BI needs.
• Collaborate with Business Intelligence Analyst - Senior and Business Intelligence Leader to understand end-user needs.
• Ensure effective communication with key stakeholders on analysis and reporting.
• Demonstrate Cummins Leadership Behaviors consistently.

• College, university, or equivalent bachelor s degree in Data Sciences, Economics, Computer Science, Statistics, or a relevant field with a quantitative focus, or equivalent experience.
• This position may require licensing for compliance with export controls or sanctions regulations.

• Proficiency in SQL and Power BI (Power Query, DAX); Advanced Excel (VBA/Macros) skills required.
• Experience with Python, Power Apps, Power Automate, ETL processes, and data modeling.
• Preferably experience in sales or sales support roles.
• Ability to work with big data and apply statistical concepts.
• Experience analyzing data and developing clear and accurate conclusions.
• Experience supporting global stakeholders individually.

• Minimum 4 years of experience in Data Analytics.

• Communicates Effectively : Develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences.
• Nimble Learning : Actively learn through experimentation when tackling new problems, using both successes and failures as learning fodder.
• Self-Development : Actively seek new ways to grow and be challenged using both formal and informal development channels.
• Tech Savvy : Anticipate and adopt innovations in business-building digital and technology applications.
• Data Analytics : Discover, interpret, and communicate qualitative and quantitative data; determine conclusions relying on business or functional frameworks; apply statistics, data validity, data visualization, and problem-solving approaches to extract meaningful patterns and business insights; present conclusions and outcomes that enable data-driven business decisions.
• Data Quality : Identify, understand, and correct flaws in data to support effective information governance across operational business processes and decision-making.
• Values Differences : Recognize the value that different perspectives and cultures bring to an organization.
• Action Oriented : Take on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Data Mining : Extract insights from data by identifying relationships and patterns through data exploration and visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building.