**DESCRIPTION** Key Responsibilities: + Support data, compliance, and environment governance processes for the assigned domain. + Facilitate an intake process for the assigned domain to reduce rework and promote reuse of analytics solutions. + Collaborate with peers to integrate data from warehouses, data lakes, 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 to improve decision-making, delivering results using reports, business intelligence technology, or other appropriate mechanisms. + Assist the business in establishing and enforcing guidelines and standards for data collection, integration, and processes. + Support project work to ingest key data for the assigned domain into the data lake, ensuring the creation and maintenance of relevant metadata and data profiles. + Assist stakeholders and business teams with finding necessary and relevant data when available. + Participate in relevant communities of practice promoting the responsible use of analytics. + Coach and assist business users in developing the capability to conduct work in the analytics ecosystem. + Assist with the preparation of communications to 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 relying on knowledge of 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 to understand the underlying structure of the data and enable sound conclusions upon model building. + **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 illustrating data visually, 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 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. **QUALIFICATIONS** **Skills:** **Technical Skills:** + Advanced proficiency in Power BI (including DAX and Power Query). + Hands-on experience with Databricks, with a deep understanding of its architecture and related applications. + Advanced Python programming skills. + Advanced SQL skills for querying, performance tuning, and database management. + Expertise in SSAS modeling (tabular and multidimensional). + Deep understanding of applied statistics for data science. **Soft Skills:** + Strong analytical and problem-solving skills. + Effective communication and team collaboration abilities. + Detail-oriented with a focus on quality and accuracy. **Experience:** + 5–8 years of experience in Analytics, Automation, Software Development, or a related field. **Job** Quality **Organization** Cummins Inc. **Role Category** Remote **Job Type** Exempt - Experienced **ReqID** 2409180 **Relocation Package** Yes