**DESCRIPTION** **Key Responsibilities:** + Conduct descriptive and diagnostic analytics on data sources. + Apply machine learning tools on data and metadata to improve data quality. + Identify patterns and trends in data sets. + Create reports and dashboards on analysis results using business intelligence technologies. + Develop data profiles for data tables and elements in the data lake. + Create data catalog entries and ensure data catalog metadata quality. + Analyze diverse data sets to identify data quality, coherency, and integrability issues and reduce data redundancy. + Collaborate to develop data cleansing methods and rules. + Assist in the creation and maintenance of documentation of key decisions, rules, controls, and processes. **RESPONSIBILITIES** **Qualifications:** + College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. + This position may require licensing for compliance with export controls or sanctions regulations. **Competencies:** + **Action Oriented:** Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. + **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. + **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; simultaneously 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 Communication and Visualization:** Constructing a tale 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 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. **QUALIFICATIONS** **Skills:** + Demonstrated experience as a Data Analyst or in a related data-centric role. + Proficiency in SQL (preferably SQL Server) for querying and manipulating data. + Practical experience with Databricks for tasks related to data engineering, data science, and analytics. + Experience working with Databricks Lakehouse architecture and data warehousing concepts. + Knowledge of Azure cloud services, including Azure Data Factory and Azure SQL Database. + Expertise in Python programming. + Skilled in using PowerBI to create interactive reports, dashboards, and visualizations, with familiarity in SSAS models. + Strong analytical mindset with excellent problem-solving skills and keen attention to detail. + Good communication skills, capable of conveying complex data insights clearly to non-technical stakeholders. **Experience:** + Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities. + Knowledge of the latest technologies and trends in data science is highly preferred and includes: + SQL query language execution on NoSQL and SQL sources. + Exposure to Agile software development. + Exposure to IoT technology. + Data profiling tools, technologies, and coding. + Data catalog tools and technologies. + Business intelligence tools and technologies. + Exposure to Big Data open source. + Clustered compute cloud-based implementation experience. **Job** Systems/Information Technology **Organization** Cummins Inc. **Role Category** Hybrid **Job Type** Exempt - Experienced **ReqID** 2412736 **Relocation Package** No