Data Analyst

Posted:
5/15/2024, 5:00:00 PM

Location(s):
South Carolina, United States ⋅ Spartanburg, South Carolina, United States

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
Data & Analytics ⋅ Software Engineering

About Oshkosh Defense, an Oshkosh company

Oshkosh Defense stands behind those who dedicate their lives to protecting others.  As an industry-leading tactical vehicle manufacturer, every day we strive to meet or exceed our customers' ever-changing needs with next generation defense technologies and advanced systems.  We operate with unparalleled commitment to those who depend on our products and services worldwide to perform their missions.

JOB SUMMARY:

As a key member in the Advanced Data Analytics team, the Data Analyst will work with this and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products. Advanced Data Analytics wok encompasses the acquisition, processing and machine learning of engineering or service data and application to preventive maintenance and intelligent control of on or off-road vehicles.

ESSENTIAL DUTIES AND RESPONSIBILITIES:  

These duties are not meant to be all-inclusive and other duties may be assigned.

  • Collaborate with other team members to execute the data science and analytics strategy in cross-segment telematics and other Corporate Engineering efforts.
  • Acquire necessary business understanding to conduct appropriate analysis through communication with internal experts, external partners, and industrial 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.).
  • Conduct data science and analytics work in a Big Data (Hadoop) ecosystem.
  • Undertake the processing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns.
  • Use various machine learning algorithms to build most effective and useful models. Present information using data visualization techniques and chart/dashboard tools.
  • Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.
  • Recognize valuable problems requiring advanced analytical techniques to solve and help develop and investigate research strategies towards industrial solutions.

MINIMUM QUALIFICATIONS:   

  • Bachelor’s degree in computer science (or STEM or related field) and three (3) or more years of proven data-centric work experience; OR graduate degree in data science (or a related field with applicable work experience).

PREFERRED QUALIFICATIONS: 

  • Understand the general concepts of statistics, data mining, machine learning, data visualization, information retrieval, artificial intelligence, and computer vision.
  • Strong proficiency with Python (Anaconda distribution) and SQL. Experience with other languages (Bash, R, Java, C++, Scala, etc.).
  • Experience with big data tools and architectures, such as Cloudera/Apache Hadoop, HDFS, Hive, Kudu, Impala, and Spark.
  • Working knowledge of telematics interfaces and streaming solutions (MQTT, NiFi, Kafka, HBASE, etc.).
  • 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.
  • Highly organized and detail-oriented, with strong critical thinking, analytical, and problem solving skills.
  • Ability to handle multiple 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.
  • Strongly motivated in learning new technologies and skills in data fields.

WORKING CONDITIONS:

  • Physical Demands: Frequent: Standing, Walking/Running, Sitting, Hearing, Talking, Visual, Typing; Occasional: Driving, Bending/Kneeling, Hearing, Talking, Visual, Typing, Fine Dexterity, Manual Dexterity.

Oshkosh is committed to working with and offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability for any part of the recruitment process, please contact our reception desk by phone at +1 (920) 502.3009 or our talent acquisition team by email [email protected].

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.