Oshkosh Corporation - Data Analyst Intern, application via RippleMatch

This role is with Oshkosh Corporation. Oshkosh Corporation uses RippleMatch to find top talent.

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THE ROLE

We’re currently recruiting for a data driven, motivated and passionate Data Analyst Intern to join our Digital Strategy team. This is a practical, hands-on experience on a fast paced, energetic, high visibility team. You will experience a culture that recognizes hard work and values people. As a Data Analyst Intern, you’ll be assisting the Digital Strategy team in creating business intelligence solutions to support our internal customers. You will do this through partnering with customers to understand their pain points, understand their goals and objectives, and then crafting innovative solutions.

YOUR IMPACT

As a Data Analyst Intern Your Assignments May Include

• Collaborate with the data science team to understand a key business problem and work to build a solution.
• Collaborate with Senior Analysts to develop reports and advanced analytics using data lake concepts and technologies.
• Consult with internal customers to collect reporting and data requirements.
• Consult with business and Digital Technology partners on data quality issues.
• Partner with leaders to develop innovative ways to deliver dashboards and reports.
• Utilize Power BI to analyze, validate, and aesthetically visualize data.
• Convert legacy reports to BI.
• Assist in the preparation and development of digital strategy presentations for executive leadership.
• Research and share key insights on emerging technologies with business value potential which align with our digital strategic objectives.
• Support our Digital Technology strategic pillars, Reach (to innovate), Rearchitect (to grow) and Resiliency (to enhance core)
• Identify and propose continuous improvement ideas.
  
  

Minimum Qualifications

• Currently enrolled in a master’s program in Computer Science, Data Science, Mathematics, Statistics, Economics, or a related field
• Experience with Power BI or similar data visualization tool
• Knowledge of database concepts
• Knowledge of SQL
• Knowledge of building reports and visualization
• Knowledge of Microsoft Office
• Familiar with stages of analytics lifecycle include data extraction, validation, and cleansing.
  
  

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