Data Analyst

About JLG, an Oshkosh company

JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products—including mobile elevating work platforms, telehandlers, utility vehicles and accessories—can be found all over the world.

As a member of the Data Analyst team, your primary responsibilities will be to identify, collect, process, and analyze datasets to help make informed business decisions. You will also assist with data analysis assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents.

YOUR IMPACT

• Discover, acquire, explore, prepare, assess and maintain datasets from internal data sources to support analyses and ad-hoc investigative requests for projects which are function/business unit specific
• Under limited supervision, responsible for data analysis assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including resolution of root causes.
• Apply skills in SQL and statistical techniques to the acquisition, enrichment, and analysis of data.
• Resolve incidents, changes, problems, tasks, and demands
• Applies knowledge of process, people, product, data, and systems of related business functions within at least one business unit
• Define Business Problems & Opportunities
• Define Relevant Dimensions & Measures
• Collaborating with Data Engineers, draft and test data views to meet business needs for projects
• Collaborating with Data Scientists, learn and align on basic understanding of predictive and prescriptive analytics, as well as machine learning and artificial intelligence
• Provide Data to Confirm Problems & Opportunities
• Draft Goals, Roles, and Sustainment Plans
• Collaborate with cross-functional teams (e.g. scientists, data engineers, business operations support, consultants) on data needs for solutions which may be projects focused on a single business function within a single business unit (Limited Complexity)
• Apply technical writing and verbal communication skills to assist in the change management (e.g. training instructions) and on-going management of data solutions.
• Actively participate in Function/Business Unit/Digital Technology Analytics Communities of Practice
• Assist business' citizen analysts in building views and in analyzing, interpreting, and communicating data insights.

MINIMUM 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.
• Ability to travel 20%

STANDOUT QUALIFICATIONS:

• Experience in data analysis, analytics
• Attention to detail, problem solving, and decision-making skills.
• Analytical, written, and verbal communication skills.
• Experience and proficiency with various web-based software applications including Power Bi Microsoft Office Word, Excel, PowerPoint, SharePoint, etc.
• Experience and proficiency in programming languages such as Python, C++, and/or C#

WORKING CONDITIONS

The following represents general working conditions for this office-based role. Specific conditions may vary depending on business needs and individual circumstances.

• This role is primarily performed in a professional office environment with standard lighting, ventilation, and temperature-controlled settings.
• Duties are largely sedentary, requiring extended periods of sitting and using a computer and telephone.
• Visual acuity to operate a computer and read documents is required, along with auditory ability to participate in virtual and in-person meetings.
• Occasional movement within the office environment is necessary, including walking short distances, standing, or reaching for files.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role.