Business Intelligence Analyst

The Business Intelligence Analyst is responsible for developing, analyzing, and delivering business intelligence reports and dashboards that enable data-driven decision-making across the organization. This role gathers reporting requirements, extracts and transforms data from multiple sources, performs data quality validation, and delivers meaningful insights to key stakeholders. Working collaboratively with cross-functional teams, the Business Intelligence Analyst applies analytical techniques, visualization tools, and reporting best practices to support business performance while fostering a culture of continuous improvement and innovation.

• 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.

Skills and Experience

• 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.

Core Competencies

• 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.