DESCRIPTION

Key Responsibilities:

• Gather reporting requirements and analyze data to provide recurring reports.
• Perform quality assurance and test conclusions to ensure the validity of the analysis.
• Select the right analysis methods for a given issue or problem to provide the most accurate analysis.
• Deliver recurring reports and/or analyses to stakeholders on time.
• Extract data from operational systems and reporting databases to understand or make conclusions from the data for decision-making purposes.
• Use globally standardized dashboards and best reporting practices to support BI needs.
• Work with Business Intelligence Analyst - Senior and the Business Intelligence Leader to understand the needs of end users.
• Collaborate with the Business Intelligence Analyst - Senior and Business Intelligence Leader to seek clarity on the intent and purpose of the assignment.
• Ensure effective communication with key stakeholders on analysis and reporting.
• Build and sustain Cummins leadership culture by consistently demonstrating all Cummins Leadership Behaviors, not only those included in competencies supporting this role.

• College, university, or equivalent bachelor's degree in Data Sciences, Economics, Computer Science, Statistics, or a relevant field with a quantitative focus, or equivalent experience required.
• This position may require licensing for compliance with export controls or sanctions regulations.

• Communicates effectively : Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
• Nimble learning : Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.
• Self-development : Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Tech savvy : Anticipating and adopting innovations in business-building digital and technology applications.
• Data Analytics : Discovering, interpreting, and communicating qualitative and quantitative data; determining conclusions relying on knowledge of business or functional frameworks; applying statistics, data validity, data visualization, and problem-solving approaches to effectively extract meaningful patterns and business insights; presenting conclusions and outcomes that enable data-driven business decisions.
• Data Quality : Identifying, understanding, and correcting flaws in data that support effective information governance across operational business processes and decision-making.
• Values differences : Recognizing the value that different perspectives and cultures bring to an organization.
• Action oriented : Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Data Mining : Extracting insights from data by identifying relationships and patterns through a suite of data exploration and data visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building.

• Required : Power BI, DAX, SQL, SSIS
• Nice to have : Power Automate, Power Apps, Basic knowledge of Oracle SCM, Basic knowledge of Snowflake

• Experience analyzing data and developing clear and accurate conclusions required.
• Experience supporting a customer-focused organization preferred.
• Develop expertise in Supply Chain Data Model - SQL server-based data model and provide support to product and/or process owners.
• Functional UAT, Functional Specification Documentation.
• Experience in Data Modelling - Dimension and Fact tables and in SSAS.