The Role
Develops and maintains business intelligence reports, dashboards, data models, and visualizations using Power BI, DAX, SQL, and enterprise data platforms. Extracts, transforms, validates, and analyzes data to generate actionable insights and support decision-making. Collaborates with stakeholders to gather reporting requirements, communicates findings, supports data governance, and improves reporting processes through automation and emerging technologies.
Summary Generated by Built In
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.
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
- 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 Required
- Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, Mathematics, another quantitative discipline, or equivalent experience
- Experience analyzing business data and developing meaningful insights to support decision-making
- 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
- Ability to manage multiple priorities in a fast-paced, global environment
- Demonstrated learning agility and adaptability to new technologies and business challenges
- Experience supporting a customer-focused organization
- Exposure to Python, Machine Learning, OpenAI technologies, and Microsoft Power Platform
Cummins Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cummins and has not been reviewed or approved by Cummins.
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Retirement Support — A 401(k) with company contribution/match and both defined contribution and defined benefit pension plans are offered, alongside profit sharing and an employee stock purchase plan. This mix supports long-term savings and financial security.
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Healthcare Strength — Multiple medical plan options (HSA, HSA Plus, PPO) with dental, vision, life and long-term disability coverage are provided, along with telehealth, mental-health support, and wellness tools. In-network protections and HSA/HSA Plus structures are described to help manage costs.
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Parental & Family Support — Paid maternity and paternity leave, family medical leave, and adoption assistance are offered. Reduced or flexible hours and unpaid extended leave options further support caregiving needs.
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The Company
What We Do
At Cummins, we empower everyone to grow their careers through meaningful work, building inclusive and equitable teams, coaching, development and opportunities to make a difference. Across our entire organization, you'll find engineers, developers, and technicians who are innovating, designing, testing, and building. You'll also find accountants, marketers, as well as manufacturing, quality and supply chain specialists who are working with technology that's just as innovative and advanced.
