Senior Data Analyst - Insights, SQL & Visualization Lead

JLG Industries; Frederick (MD); On-site; USD 83,000 - 134,000; Full time

Job summary

JLG Industries, an Oshkosh company, seeks a Data Analyst to identify, collect, process, and analyze datasets to inform business decisions. You will support data analysis assignments, projects, visualizations, data quality improvements, and data incident troubleshooting.

You will collaborate with data engineers and scientists to create views and analytics, while maintaining governance, accuracy, and scalability across multiple business units.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems or equivalent.
• 5+ years of data analysis, IT, or related experience.
• Proficient with Power BI and Microsoft Office apps (Word, Excel, PowerPoint, SharePoint).
• Ability to travel up to 20%.
• Experience in data analysis and analytics.
• Strong storytelling and influence capabilities.
• Excellent attention to detail, problem solving and decision-making.
• Advanced written and verbal communication skills.

Responsibilities

• Identify, collect, process, and analyze datasets to support informed business decisions.
• Assist with data analysis assignments, projects, and visualizations.
• Support data quality improvements and troubleshooting of data incidents.
• Collaborate with data engineers and data scientists on views and analytics.

Skills

Storytelling

Attention to detail

Problem solving

Decision making

Verbal communication

Written communication

Influence

Travel readiness

Education

Bachelor’s degree in Computer Science, Information Systems or equivalent.

5+ years in Data Analysis / IT or related area

Tools

Power BI

Microsoft Word

Excel

PowerPoint

SharePoint

Job description

JLG Industries, an Oshkosh company, seeks a Data Analyst to identify, collect, process, and analyze datasets to inform business decisions. You will support data analysis assignments, projects, visualizations, data quality improvements, and data incident troubleshooting.

You will collaborate with data engineers and scientists to create views and analytics, while maintaining governance, accuracy, and scalability across multiple business units.