Vellore, Tamil Nadu, India
Information Technology
Full-Time
Cummins West Africa Limited
Overview
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
Skills and Experience
Qualifications
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.
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
- 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.
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