**DESCRIPTION** **Key Responsibilities:** + **Governance&Compliance:** Support data, compliance, and environment governance processes for the assigned domain. Facilitate an intake process to reduce rework and promote reuse of analytics solutions. + **Data Integration&Cleansing:** Collaborate with peers to integrate data from warehouses, data lakes, and other source systems. Cleanse data to ensure report accuracy and reduce duplication, maintaining documentation of the cleansing process. + **Analytics Projects:** Support analytics projects to produce insights for business decision-making. Deliver results using reports, business intelligence technology, or other appropriate mechanisms. + **Standards&Guidelines:** Support the business in establishing and enforcing guidelines and standards for data collection, integration, and processes. + **Data Ingestion:** Support project work to ingest key data into the data lake, ensuring the creation and maintenance of relevant metadata and data profiles. + **Stakeholder Assistance:** Assist stakeholders and business teams with finding necessary and relevant data. Participate in communities of practice promoting the responsible use of analytics. + **Training&Communication:** Coach and assist business users in developing capabilities to conduct work in the analytics ecosystem. Assist with the preparation of communications to leaders and stakeholders. **Data Analytics&Visualization:** + Design, develop, and maintain interactive dashboards and reports using Power BI to provide actionable insights. + Create and optimize data models to support visualization and analytics needs. + Implement statistical models and techniques to analyze business data and derive meaningful insights. **ETL&Data Management:** + Design and develop ETL pipelines to extract, transform, and load data from various sources. + Ensure data accuracy, integrity, and consistency across different platforms. + Work with relational databases, writing and optimizing SQL queries for data processing. **Application Development&Automation:** + Develop applications and process automation using Power Apps to streamline business processes. + Integrate Power Apps with Power BI, SharePoint, and other enterprise systems. **Team Leadership&Project Management:** + Lead a team of data analysts and data engineers, providing technical guidance and support. + Manage project timelines and deliverables, ensuring the successful execution of data-driven initiatives. **Advanced Analytics&Platform Expertise:** + Leverage Databricks and PySpark to perform advanced analytics, build scalable data pipelines, and optimize data workflows. + Utilize statistical and machine learning models to solve complex business problems. + Explore and implement solutions using low-code/no-code platforms such as Mendix (preferred). **RESPONSIBILITIES** **Qualifications:** + Bachelor’s degree in Computer Science, Information Technology, or a related field. **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 to enable data-driven business decisions. + **Data Mining:** Extracting insights from data by identifying relationships and patterns. + **Data Modeling:** Creating, writing, and testing data models 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. + **Data Literacy:** Expressing data in context, including data sources and constructs, analytical methods, and applied techniques. + **Data Profiling:** Assessing data issues and cleansing requirements to ensure quality data. + **Data Quality:** Identifying, understanding, and correcting flaws in data to support effectiveinformation governance. + **Values Differences:** Recognizing the value that different perspectives and cultures bring to an organization. **QUALIFICATIONS** **Experience:** 6-8 years of relevant work experience required. Experience in manufacturing analytics or a related domainis preferred. **Skills:** + **Technical Skills:** + Strong knowledge of statistics and experience with statistical models. + Hands-on expertise in Power BI, Power Apps, and SQL. + Knowledge or experience in Mendix platforms is a plus. + Experience in designing and maintaining ETL processes. + Knowledge in Databricks and PySpark for data analytics and processing. + **Soft Skills:** + Strong problem-solving and analytical abilities. + Excellent communication and stakeholder management skills. + Proven ability to lead a team. **Job** Quality **Organization** Cummins Inc. **Role Category** Remote **Job Type** Exempt - Experienced **ReqID** 2412984 **Relocation Package** No