Oshkosh Corporation is a leading manufacturer of specialty trucks and access equipment, committed to serving and protecting communities worldwide. The Data Analyst will collaborate with cross-functional teams to develop and execute a data analytics strategy for Global Procurement & Supply Chain, focusing on data acquisition, processing, and machine learning to enhance vehicle maintenance and control.
Collaborate with other team members to execute data analytics strategy for cross-segment
Acquire necessary business understanding to conduct appropriate analysis through communication with internal experts, external partners, and industry researchers
Discover, acquire, explore, prepare, assess, and maintain datasets from a variety of sources to support analyses and ad-hoc investigative requests
Help identify valuable data sources and automate related tasks (ETL, reporting, etc.)
Undertake the processing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns
Utilize Artificial Intelligence (AI) and Machine Learning (ML) learning algorithms built into analytics platform to cleanse and categorize volumes of data
Present information using data visualization techniques and chart/dashboard tools for technical and non-technical audiences and build automated reports
Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences
Recognize problems requiring advanced analytical techniques to solve, develop and investigate strategies towards a solution
Qualification
Required
Organized, detail-oriented, with strong critical thinking, analytical, and problem-solving skills to handle tasks in a fast-paced environment, both independently and as part of a team
Display excellent interpersonal skills as well as the ability to effectively present information and respond to questions from leadership and peers
Understanding of general concepts of statistics, data mining, machine learning, data visualization, information retrieval, artificial intelligence, and computer vision
Data governance abilities with knowledge of metadata management, data quality management, data integration or data management
Bachelor's degree in computer science (or STEM / related field) OR two (2) or more years of proven data-centric work experience; OR graduate degree in data science (or a related field with applicable work experience)
Prior experience in industrial and/or manufacturing environments desired, and any experience with automotive or heavy duty on or off-road vehicles and controller area network (CAN) signals is a plus
Preferred
Understand the general concepts of statistics, data mining, machine learning (ML), data visualization, information retrieval, and artificial intelligence (AI)
Strong proficiency with Power BI and other supply chain systems for data visualization
Design, develop, implement, sustain data analytics, governance of policies and procedures as part of a broader enterprise data management program including, but not limited to: Data quality framework, metrics, and adherence to data standards, Data cataloging and data flow/lineage visualization, Identify and collaborate with data stewards, Clean, Categorize, and maintain metadata
