Dew Software
Data Analyst - Only W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with 3+ years of experience in the automotive industry. Contract length is unspecified, with a pay rate of "X". Key skills include Power BI, SQL, Python, and machine learning knowledge. A Bachelor's degree is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Greensboro, NC
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🧠 - Skills detailed
#Cloud #Statistics #Azure #Anomaly Detection #Python #Computer Science #Data Analysis #Telematics #Regression #R #SQL (Structured Query Language) #Spark (Apache Spark) #ML (Machine Learning) #Jupyter #BI (Business Intelligence) #Microsoft Power BI
Role description
The client is seeking an experienced Data Analyst for an exciting opportunity at our client.
In this position, you will be engaged within the advanced analytics and machine learning initiatives focused on emerging issue detection, problem definition, and resolution support within their team.
This is done in parallel with other data and product quality leaders located across their global sites.
In this position, you will use fundamental analytics approaches as well as advanced analytics techniques to accelerate the field quality issue-solving process.
This process includes conventional, electric, and fuel cell powertrains in our commercial vehicles and coaches.
As a global organization, this position involves collaboration with engineering and quality sites located across multiple international regions.
Requirements:
3+ years of data analysis experience in an automotive or commercial manufacturing industry.
Technical Stack: High proficiency in Power BI, SQL, and Python (or R), along with exposure to cloud environments (Azure, Spark, Jupyter).
Machine Learning: Working knowledge of supervised/unsupervised ML algorithms (e.g., K-means, Random Forest, anomaly detection, regression).
Data Experience: Familiarity with heavy data environments like warranty claims, manufacturing metrics, and vehicle telematics/logged data.
Education: Minimum Bachelor’s degree in Engineering, Computer Science, Math, or Statistics.
The client is seeking an experienced Data Analyst for an exciting opportunity at our client.
In this position, you will be engaged within the advanced analytics and machine learning initiatives focused on emerging issue detection, problem definition, and resolution support within their team.
This is done in parallel with other data and product quality leaders located across their global sites.
In this position, you will use fundamental analytics approaches as well as advanced analytics techniques to accelerate the field quality issue-solving process.
This process includes conventional, electric, and fuel cell powertrains in our commercial vehicles and coaches.
As a global organization, this position involves collaboration with engineering and quality sites located across multiple international regions.
Requirements:
3+ years of data analysis experience in an automotive or commercial manufacturing industry.
Technical Stack: High proficiency in Power BI, SQL, and Python (or R), along with exposure to cloud environments (Azure, Spark, Jupyter).
Machine Learning: Working knowledge of supervised/unsupervised ML algorithms (e.g., K-means, Random Forest, anomaly detection, regression).
Data Experience: Familiarity with heavy data environments like warranty claims, manufacturing metrics, and vehicle telematics/logged data.
Education: Minimum Bachelor’s degree in Engineering, Computer Science, Math, or Statistics.
