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Data Analyst - Senior

Cummins
United Statesfull_timeVerifiedPosted 27 Mar 2025

About the role

We are looking for a talented Sr. Data Analyst to join our team specializing in Systems/Information Technology in Seymour, IN.  

In this role, you will make an impact in the following ways: 

  • Enhancing Data Quality: By applying machine learning tools and techniques, you'll improve the quality of data and provide actionable recommendations to resolve issues. 
  • Informing Leadership Decisions: Conducting descriptive and diagnostic analytics and reviewing results with senior leadership will help guide strategic decisions. 
  • Identifying Key Patterns: Your ability to identify patterns and trends in data sets and apply statistical process controls will drive insights and improvements. 
  • Creating Advanced Reports: Developing complex reports and dashboards using advanced business intelligence tools will provide valuable insights and visualizations. 
  • Optimizing Data Management: By developing data profiles and evaluating data catalog entries, you'll ensure high-quality metadata and guide product development teams. 
  • Resolving Data Issues: Analyzing diverse data sets to identify and resolve data quality, coherency, and integrability issues will reduce redundancy and enhance data lifecycle management. 
  • Collaborating on Data Solutions: Working with teams to develop data cleansing methods and integrating analysis findings into governance solutions will improve overall data governance. 
  • Mentoring and Coaching: Providing guidance and reviewing the work of less experienced team members will foster a collaborative and knowledgeable team environment. 

To be successful in this role you will need the following:  

  • Data Literacy: Understand and express data in context, including sources, constructs, and analytical methods. Clearly describe use-case applications and the resulting value.
  • Data Profiling: Assess data issues and cleansing requirements to ensure high-quality data through extraction, mapping, collection, and testing.
  • Data Communication and Visualization: Create compelling visual narratives of business problems, root causes, solutions, and opportunities using reports and dashboards.
  • Data Quality: Identify, understand, and correct data flaws to support effective information governance and decision-making processes.
  • Project Management: Balance scope, schedule, and resources effectively to manage projects successfully.
  • Data Analytics: Discover, interpret, and communicate both qualitative and quantitative data. Apply statistics, data validity, visualization, and problem-solving to extract meaningful patterns and insights.
  • Effective Communication: Develop and deliver clear, multi-mode communications tailored to the unique needs of different audiences.
  • Customer Focus: Build strong relationships and deliver customer-centric solutions.
  • Tech Savvy: Stay ahead of innovations in digital and technology applications relevant to business-building.
  • Stakeholder Management: Anticipate and balance the needs of multiple stakeholders effectively.
  • Action Oriented: Approach new opportunities and challenges with urgency, high energy, and enthusiasm.
  • Managing Ambiguity: Operate effectively even when things are uncertain or unclear.

 


Education, Licenses, Certifications:  

  • 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.  
     

Experience:  

  • Intermediate experience in a relevant discipline is required.  
  • 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  
  • Intermediate experiences in the following are preferred:  
    • Exposure to Big Data open source  
    • Clustered compute cloud-based implementation experience 

Additional Information:  

This role will require to have experience and applied the following skills:

  • Experience creating dashboards and business metrics out of mult

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Company

Cummins

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