Business Intelligence Analyst

• 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.

Cummins Inc.

On-site with Flexibility