**DESCRIPTION** **Key Responsibilities:** + Support data, compliance, and environment governance processes for the assigned domain. + Facilitate an intake process to reduce rework and promote reuse of analytics solutions. + Collaborate with peers to integrate data from warehouse, data lake, and other source systems to build relevant models for business use. + Cleanse data to ensure report accuracy and reduce data duplication, maintaining documentation of the cleansing process. + Support analytics projects to produce insights for the business, improving decision-making through reports, business intelligence technology, or other mechanisms. + Establish and enforce guidelines and standards for data collection, integration, and processes. + Ingest key data for the assigned domain into the data lake, ensuring creation and maintenance of relevant metadata and data profiles. + Assist stakeholders and business teams in finding necessary and relevant data. + Participate in communities of practice promoting responsible use of analytics. + Coach and assist business users in developing capability within the analytics ecosystem. + Prepare communications for leaders and stakeholders. **RESPONSIBILITIES** **Qualifications:** + College, university, or equivalent degree in a relevant technical discipline, or relevant equivalent experience required. + This position may require licensing for compliance with export controls or sanctions regulations. **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:** Discovering, interpreting, and communicating qualitative and quantitative data; determining conclusions based on business or functional frameworks; applying statistics, data validity, data visualization, and problem-solving approaches to extract meaningful patterns and business insights; presenting conclusions and outcomes that enable data-driven business decisions. + **Data Mining:** Extracting insights from data by identifying relationships and patterns through data exploration and visualization techniques. + **Data Modeling:** Creating, writing, and testing 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:** Constructing a narrative of the business problem, root cause, solution options, and opportunities through data visualization, including reports and dashboards. + **Data Literacy:** Expressing data in context, including data sources and constructs, analytical methods, and applied techniques; describing the use-case application and resulting value. + **Data Profiling:** Assessing data issues and cleansing requirements to perform data extraction, mapping, collection, and testing; establishing good, quality data. + **Data Quality:** Identifying, understanding, and correcting flaws in data to 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. **QUALIFICATIONS** **Skills:** + Proficiency with power platforms. + Power app, power BI, SQL queries. **Experience:** + 4+ Years relevant experience **Job** Quality **Organization** Cummins Inc. **Role Category** Remote **Job Type** Exempt - Experienced **ReqID** 2412413 **Relocation Package** No