Business Intelligence Analyst

Responsible for the preparation of Business Intelligence (BI) analyses and reports for key stakeholders, supporting data-driven decision-making processes. This role requires expertise in analytics tools, a strong understanding of data systems, and the ability to collaborate with team members and stakeholders to meet business intelligence needs.

• Gather reporting requirements and analyze data to provide recurring reports.
• Perform quality assurance and test conclusions to ensure the validity of analyses.
• Select appropriate analysis methods to provide the most accurate insights for issues or problems.
• Deliver recurring reports and/or analyses to stakeholders on time.
• Extract data from operational systems and reporting databases to support decision-making processes.
• Utilize globally standardized dashboards and reporting practices to fulfill BI requirements.
• Collaborate with senior BI analysts and BI leaders to understand end-user needs and ensure alignment with assignment purposes.
• Ensure effective communication with key stakeholders regarding analysis and reporting deliverables.
• Demonstrate Cummins Leadership Behaviors to build and sustain a culture of leadership within the organization.

• Bachelor s degree in Data Sciences, Economics, Computer Science, Statistics, or a related quantitative field. Equivalent experience may be considered.

• Must-Have Skills:
  • 5+ years of experience in business intelligence or related fields.
  • Proficiency in contact center analytics development.
  • Advanced knowledge of Power BI and DAX.
  • Proficiency in SQL.
  • Solid understanding of Databricks concepts.
• Preferred Skills:
  • Knowledge of Python.
  • Experience in supporting customer-focused organizations.
• Proven ability to analyze data and develop clear, accurate conclusions.

• Communicates Effectively: Delivering multi-mode communications tailored to diverse audience needs.
• Nimble Learning: Adapting through experimentation, using successes and failures as learning opportunities.
• Self-Development: Seeking new challenges and growth through both formal and informal development channels.
• Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications.
• Data Analytics: Interpreting and communicating qualitative and quantitative data to extract meaningful patterns and insights for decision-making.
• Data Quality: Identifying and correcting flaws in data to ensure effective information governance.
• Values Differences: Recognizing the value of diverse perspectives and cultures.
• Action-Oriented: Tackling new opportunities and challenges with urgency, energy, and enthusiasm.
• Data Mining: Extracting insights from data by identifying relationships and patterns using data exploration and visualization techniques.