RESPONSIBILITIES

Competencies:

Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.

Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.

Customer focus - Building strong customer relationships and delivering customer-centric solutions.

Interpersonal savvy - Relating openly and comfortably with diverse groups of people.

Data Analytics - Discovers, interprets and communicates qualitative and quantitative data; determines conclusions relying on knowledge of business or functional frameworks; simultaneously applies statistics, data validity, data visualization, and problem solving approaches to effectively extract meaningful patterns and business insights; presents conclusions and outcomes that enable data driven business decisions.

Data Mining - Extracts insights from data by identifying relationships and patterns through use of a suite of data exploration and data visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building.

Data Modeling - Creates, writes and tests data models, test scripts and build scripts using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements.

Data Communication and Visualization - Constructs a tale of the business problem, root cause, solution options, and opportunities through illustrating data visually, including reports and dashboards.

Data Governance - Assures definition, ownership, metadata management, and security for Cummins data.

Data Literacy - Expresses data in context, including data sources and constructs, analytical methods and applied techniques; describes the use-case application and resulting value.

Data Profiling - Assesses data issues and cleansing requirements to perform data extraction, mapping, collection, and testing; establishes good, quality data.

Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making.

Values differences - Recognizing the value that different perspectives and cultures bring to an organization.

Education, Licenses, Certifications:

College, university, or equivalent degree in statistics, information systems or related field required.

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

Experience:

Minimal relevant work experience required.

QUALIFICATIONS

• Domain understanding of Quality and Reliability.
• Develop and maintain interactive dashboards and reports using Power BI.
• Automate processes and workflows utilizing Power Apps and Power Automate.
• Perform data analysis and modelling with Python and R to generate insights.
• Interpret complex datasets and provide data-driven recommendations.
• Collaborate with stakeholders to understand business requirements and deliver solutions.
• Ensure data accuracy, consistency, and quality across all platforms.
• Communicate findings effectively with both technical and non-technical teams
• Experience in the manufacturing sector is preferred.

Job Quality

Organization Cummins Inc.

Role Category Remote

Job Type Exempt - Experienced

ReqID 2403846

Relocation Package Yes