Cummins HUB Jobs

DESCRIPTION

At Cummins, we believe data-driven insights are fundamental to shaping smarter strategies and better business decisions. As a Senior Business Intelligence Analyst , you will be responsible for preparing advanced and interpretive business analyses and reports, using cutting-edge tools and techniques to solve complex business challenges. You will collaborate across functions to develop models, dashboards, and forecasts, empowering the organization with clear, actionable intelligence.

Key Responsibilities

• Collaborate with stakeholders to gather reporting requirements and translate them into meaningful data insights through recurring and ad-hoc reporting.

• Apply advanced data modeling, statistical analysis, and machine learning to uncover trends, validate hypotheses, and drive data-backed decisions.

• Design, develop, and deploy business intelligence solutions using globally standardized and/or custom dashboards and reporting formats.

• Perform quality assurance checks and test conclusions to ensure accuracy and reliability.

• Interpret analytical results, providing insights and recommendations for operational improvement.

• Plan and manage the full lifecycle of assigned BI projects including design, budget, stakeholder communication, and integration.

• Guide and mentor analysts on best practices in BI tools, data visualization, and storytelling.

• Continually enhance the usability and accessibility of reports to support efficient decision-making.

• Develop roadmaps for the adoption and maintenance of new business intelligence tools and methodologies.

• Champion the Cummins leadership culture by demonstrating leadership behaviors and fostering collaboration.

RESPONSIBILITIES

Skills and Experience

• Advanced Technical Skills:

• Power BI (Advanced)

• Data Modeling

• DAX

• Statistical Analysis

• Deep Learning (Machine Learning) and Large Language Models (LLMs)

• Predictive Modeling, Feature Engineering, Sampling Strategies.

• Programming:

• Experience writing and testing code aligned with technical and compliance best practices.

• Data Analysis & Modeling:

• Hands-on experience in statistical modeling for forecasting and classification.

• Strong understanding of data mining, pattern recognition, and hypothesis validation.

• Problem Solving:

• Proven ability to apply structured methods to identify root causes, implement corrective measures, and prevent recurrence.

• Experience mentoring or coaching junior team members in analytical problem-solving.

• Professional Competencies:

• Communicates Effectively

• Cultivates Innovation

• Nimble Learning

• Optimizes Work Processes

• Plans and Aligns

• Self-Development

• Tech Savvy

• Customer Focus

• Manages Complexity

• Values Differences

• Data-Centric Competencies:

• Data Analytics: Discovery, interpretation, and presentation of data to drive business decisions.

• Data Mining: Identification of patterns and relationships through advanced exploration techniques.

• Data Quality: Identification and correction of data flaws to ensure reliable reporting and governance.

• Machine Learning: Application of supervised and unsupervised techniques for real-world business solutions.

• Project Management:

• Proven ability to manage projects balancing scope, schedule, and resources to deliver results and ensure impact.

• Preferred Experience:

• Experience supporting customer-focused environments.

• Experience with AI platforms such as R, Einstein, or other machine learning frameworks.

QUALIFICATIONS

Qualifications

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

• Equivalent experience and demonstrated competence in business intelligence roles will also be considered.

• This position may require licensing for compliance with export controls or sanctions regulations.

Job Sales

Organization Cummins Inc.

Role Category Hybrid

Job Type Exempt - Experienced

ReqID 2413900

Relocation Package No