Business Intelligence Analyst

Key Responsibilities

• Gather, analyze, and document business reporting requirements from stakeholders.
• Design, develop, and maintain recurring reports, dashboards, and visualizations using standardized reporting practices.
• Extract, transform, and analyze data from operational systems, databases, and enterprise data platforms to generate actionable insights.
• Perform data validation, quality assurance, and testing to ensure the accuracy, consistency, and reliability of reporting outputs.
• Select appropriate analytical methods and visualization techniques to address business questions and support informed decision-making.
• Develop interactive dashboards and data models using Power BI, including DAX calculations and performance optimization.
• Write and optimize SQL queries to retrieve, transform, and analyze structured data.
• Work with enterprise data platforms such as Snowflake, Databricks, SQL Server, and SSAS models to support reporting and analytics needs.
• Apply data mining, statistical analysis, and visualization techniques to identify trends, patterns, and business opportunities.
• Collaborate with senior analysts, business leaders, and cross-functional teams to understand reporting priorities and business objectives.
• Communicate analytical findings and recommendations effectively to technical and non-technical stakeholders.
• Support data governance initiatives by ensuring adherence to data quality standards and reporting best practices.
• Identify opportunities to improve reporting processes through automation, innovation, and emerging technologies.
• Stay current with evolving BI technologies, analytics tools, and industry best practices.
• Demonstrate Cummins Leadership Behaviors by promoting collaboration, inclusion, continuous learning, customer focus, and accountability.
• Strong analytical and problem-solving skills with the ability to interpret complex datasets and translate findings into actionable business insights.
• Advanced proficiency in Power BI, including dashboard development, data modeling, DAX, and visualization best practices.
• Strong SQL skills for querying, transforming, and analyzing structured data.
• Experience with enterprise data platforms such as Snowflake, Databricks, SQL Server, and SSAS.
• Knowledge of data analytics, data mining, statistical analysis, and business intelligence methodologies.
• Understanding of data quality, data governance, and reporting standards.
• Ability to communicate technical concepts and analytical insights clearly to diverse business audiences.
• Strong collaboration and stakeholder management skills with the ability to work effectively across business and technical teams.
• Ability to manage multiple priorities in a fast-paced, global environment.
• Demonstrated learning agility and adaptability to new technologies and business challenges.
• Exposure to Python, Machine Learning, OpenAI technologies, and Microsoft Power Platform is considered an advantage.
• Business Intelligence & Data Analytics
• Data Visualization & Storytelling
• Power BI Development
• SQL & Data Modeling
• Data Mining & Statistical Analysis
• Data Quality & Governance
• Critical Thinking & Problem Solving
• Stakeholder Communication & Collaboration
• Customer Focus
• Continuous Learning & Innovation
• Adaptability & Agility
• Inclusion & Valuing Differences

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, Mathematics, or another quantitative discipline, or equivalent experience.
• Experience analyzing business data and developing meaningful insights to support decision-making is required.
• Experience supporting a customer-focused organization is preferred.
• This position may require licensing for compliance with export controls or sanctions regulations.

Skills and Experience

Core Competencies