Supply Chain Data Analyst

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 17,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.
Supply Chain Data Analyst will work with a cross-functional team to develop and execute data analytics strategy for Global Procurement & Supply Chain (GPSC) using external application. GPSC Analytics work encompasses the acquisition, processing and machine learning of business data and application to preventive maintenance and intelligent control of our vehicles.
Position will support teams in developing, deploying policies and procedures that promote efficient, accurate data, analysis of data, and effective information management to ensure data analysis is used and maintained properly across our organization.
YOUR IMPACT

• 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.

• 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.

MINIMUM QUALIFICATIONS

• 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.

STANDOUT QUALIFICATIONS

• Understand the general concepts of statistics, data mining, machine learning (ML), data visualization, information retrieval, and artificial intelligence (AI).
• Strong proficiency with Python/R, SQL, and Power BI. Experience with other languages (Spark, Bash, Java, C++, Scala, etc.).

• 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.

Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at: 920-502-3009 or corporatetalentacquisition@oshkoshcorp.com.
Oshkosh Corporation is an Equal Opportunity and Affirmative Action Employer. This company will provide equal opportunity to all individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Information collected regarding categories as provided by law will in no way affect the decision regarding an employment application.
Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.
Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.