Cummins Inc.
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Job Type

Full Time

Job Details

Sr. Data Analyst

 
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.

 
 

Qualifications

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

QUALIFICATIONS

Additional Information:

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

  • Experience creating dashboards and business metrics out of multiple data sources

  • Experience working with top-level assumptions and expand to lower-level details

  • Experience with clustering techniques to be able to aggregate data meaningfully

  • Experience creating data models and scenario modeling in software and in Excel

  • Expert in Data visualization techniques in Power BI

  • Advanced in SQL to query Oracle, Snowflake, OBIEE

  • Skilled in programming Python or R

  • Skilled in statistics, knows SPSS or Minitab

  • Skilled in Web design and written communications

  • Advanced excel skills

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Sr. Data Analyst
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