Business Intelligence Analyst

  • Career Path: Sales
  • Organization: Cummins Inc.
  • Role Category: Hybrid
  • Job Type: Exempt - Experienced
  • ReqID: 2418102
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DESCRIPTION

The Business Intelligence Analyst is responsible for preparing insightful BI analyses and reports to support data-driven decision-making across the organization. This role involves gathering reporting requirements, analyzing complex datasets, and delivering high-quality dashboards and reports using industry-standard tools and practices.

Key Responsibilities

  • Gather and document reporting requirements from stakeholders.

  • Analyze data and deliver recurring reports and dashboards using Power BI.

  • Perform quality assurance and validate conclusions to ensure accuracy.

  • Select appropriate analytical methods to address business problems.

  • Extract and transform data from various enterprise systems (e.g., SQL Server, Snowflake, SAP HANA, Salesforce).

  • Automate reporting workflows using Power Automate, Power Apps, or Python.

  • Collaborate with senior BI analysts and BI leaders to understand user needs and clarify assignment objectives.

  • Communicate effectively with stakeholders regarding analysis outcomes and reporting insights.

  • Adhere to globally standardized dashboards and reporting best practices.

  • Demonstrate Cummins Leadership Behaviors in all aspects of work.

RESPONSIBILITIES

Skills and Experience

  • 3–5 years of experience in Business Intelligence, analytics, or data engineering roles.

  • Strong proficiency in Power BI, including data modeling, DAX, and report publishing.

  • Advanced SQL skills, including query optimization and data transformation.

  • Experience integrating and analyzing Salesforce data for reporting.

  • Hands-on experience with large datasets and multiple data sources.

  • Experience with Power Automate, Power Apps, or Python for workflow automation is highly desirable.

Core Competencies

  • Communicates Effectively: Tailors communication to different audiences for clarity and impact.

  • Nimble Learning: Learns quickly through experimentation and adapts based on feedback.

  • Self-Development: Proactively seeks growth opportunities through formal and informal channels.

  • Tech Savvy: Embraces and applies digital innovations to business challenges.

  • Data Analytics: Interprets and communicates data insights to support business decisions.

  • Data Quality: Ensures data integrity and supports effective information governance.

  • Values Differences: Appreciates diverse perspectives and fosters inclusive collaboration.

  • Action Oriented: Tackles challenges with urgency, energy, and enthusiasm.

  • Data Mining: Uses visualization and exploration techniques to uncover patterns and insights.

QUALIFICATIONS

Qualifications

  • Bachelor’s degree in Data Science, Economics, Computer Science, Statistics, or a related quantitative field.

  • Equivalent experience may be considered in lieu of formal education.

As Cummins continues to grow, you'll be provided with continuous learning opportunities, supportive benefits and a culture that values your wellbeing, safety and work-life balance. Here, you'll have the power to determine your future with innovative technology, a focus on sustainability and with a company positioned for long-term growth.

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

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PLEASE BE ADVISED: Cummins has been made aware that there are a number of scams that take advantage of job seekers in a variety of ways. Depending on the scam, scammers look to collect confidential information to use for identity theft or try to get money from job seekers during the recruitment process. Cummins will never ask for money during the application, recruitment, or on-boarding process. To learn more about the most common job scams, tips on how to avoid being scammed and federal reporting procedures, please visit consumer.ftc.gove/articles/0243-job-scams