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# Expert Data Analyst

- **Company:** Volvo Group
- **Location:** Greensboro, NC, United States
- **Experience:** Experienced
- **Salary:** $162,845 - $169,900
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Cloud Computing, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, SAS (Software), SQL Databases, Jupyter Notebook, Apache Spark, Information Technology, Data Analytics, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.nettemps.com/us/en/WCDF975590EF4BE1C7B.ntap

## About the Role

* Requires a bachelor's or foreign equivalent degree in Engineering, Computer Science, Mathematics, Statistics, or a related field and 3 years of experience working with one of the following SAS Institute data analytics tools: Enterprise Guide, Databricks, or Azure tables.
 * Must have 3 years of experience in each of the following:
 + Working with the following technical tools: SQL, Python, R, Azure Analytics Cloud, Jupyter Notebook, Power BI and Apache Spark
 + Performing SAS Analytics, including SAS Enterprise Guide programming
 + Performing warranty data analytics in a Quality setting
 * Working with unsupervised and supervised machine learning techniques
 * In lieu of a bachelor's degree or foreign equivalent degree in the aforementioned fields and 3 years of experience as state, employer will accept 5 years of experience.
 * Experience may be acquired prior to completion of degree.
 * Experience may be, but need not be, acquired concurrently.

## Description

Execute analytics assignments across all stages, from exploratory data analysis to advanced statistical modeling, to uncover business insights, detect emerging issues, and forecast quality and uptime performance. Work in close partnership with Engineering, Purchasing, and Q&CS functions to align on shared goals, harmonize global reporting and analytics strategies, and support unified warranty reporting across Volvo and Mack brands in North America. Support the development and execution of the organization's data science and analytics roadmap, enabling continuous improvement and informed decision-making across global operations.