Data Analytics Specialist

Relha LLC; Jefferson City (TN); On-site; USD 73,000 - 118,000; Full time

Job summary

Oshkosh Corporation is seeking a Data Analyst to identify, collect, and analyze datasets to support informed business decisions. You will assist with data analysis projects, visualization tasks, and data quality improvements while troubleshooting data incidents.

The role involves collaborating with data engineers and data scientists on predictive analytics, ML/AI concepts, and cross-functional data needs. Travel approx. 20% is required.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems or equivalent.
• Three (3) or more years of experience in Data Analysis, Information Technology, or in a related area.
• Experience and proficiency with various web-based software applications including Power BI Microsoft Office Word, Excel, PowerPoint, SharePoint, etc.
• Programming experience in Python, C++, and/or C#.

Responsibilities

• Identify, collect, process, and analyze datasets to help make informed business decisions.
• Assist with data analysis assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents.
• Collaborate with Data Engineers to draft and test data views to meet business needs for projects.
• Collaborate with Data Scientists to align on predictive and prescriptive analytics, ML and AI concepts.
• Provide data to confirm problems and opportunities and support cross-functional teams.

Skills

Data analysis

Analytics

Python

C++

C#

Communication skills

Attention to detail

Problem solving

Decision making

Education

Bachelor's degree in Computer Science or Information Systems

Tools

Power BI

SharePoint

Microsoft Office

Job description

Oshkosh Corporation is seeking a Data Analyst to identify, collect, and analyze datasets to support informed business decisions. You will assist with data analysis projects, visualization tasks, and data quality improvements while troubleshooting data incidents.

The role involves collaborating with data engineers and data scientists on predictive analytics, ML/AI concepts, and cross-functional data needs. Travel approx. 20% is required.