Apply on Employer Site

Oshkosh Corporation · 10 hours ago

Data Analyst - Intelligent Supply Chain

Oshkosh, Wisconsin, United States

Full-time

Onsite

Entry, Mid Level

$73K/yr - $118K/yr

2+ years exp

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.

AutomotiveIndustrialManufacturing

H1B Sponsor Likely

Responsibilities

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

Data AnalysisMachine LearningData VisualizationData GovernancePower BICritical ThinkingInterpersonal SkillsProblem-Solving

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

Company

Oshkosh Corporation

Glassdoor3.9

Moving the world forward.

Founded in 1917

Oshkosh, Wisconsin, USA

10001+ employees

https://www.oshkoshcorp.com/

H1B Sponsorship

Oshkosh Corporation has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (1)

2024 (3)

2022 (2)