We are looking for a Data Analyst - Product Quality to join our client's team, where they will use advanced data analytics and machine learning to improve vehicle uptime and detect emerging field quality issues. Candidates must have a strong background in a technical quality or engineering environment (ideally automotive or commercial manufacturing) and the ability to work independently across global teams.
location: Greensboro, North Carolina
job type: Contract
salary: $45 - 51 per hour
work hours: 8am to 5pm
education: Bachelors
Responsibilities
You will be part of the product quality organization. Your creative thinking and problem-solving skills will contribute to identifying and solving complex quality challenges through data mining and optimization. You will be actively working with quality issue management and ways to increase vehicle uptime for our client's customers.
Key Responsibilities
End-to-End Analytics: Execute all steps of an analytics assignment ranging from fundamental to advanced statistical techniques, including data & business value exploration, data structuring, modeling, problem-solving, and presenting recommendations.
Methodology Development: Develop & implement methodologies to assist Product Quality Leaders in emerging issue detection, forecasting, and predicting quality & uptime performance.
Diverse Data Sources: Work with various data sources including, but not limited to, warranty claims, logged vehicle telematics, customer data, manufacturing data, and high-resolution vehicle data.
Global Collaboration: Deliver all steps independently while establishing a strong network by working closely with international colleagues on global initiatives.
Cross-Functional Teamwork: Collaborate closely with other Data Analysts, Data Engineers, Data Architects, and Data Scientists during the implementation and deployment of advanced analytics solutions.
Qualifications
3+ years of experience as a Data Analyst in the automotive or commerical 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.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected].
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
About the company
Company website•IT Services and IT Consulting
Randstad Digital is a trusted digital enablement partner that facilitates accelerated transformation for businesses by providing global talent, capacity, and solutions across specialized domains. Our talent solutions allow you to seamlessly scale your team while connecting you with skilled professionals around the world who align with your chosen technologies. Our focus lies in managed solutions, and we empower businesses to move at speed and achieve goals efficiently. We support four service lines including customer experience, digital and product engineering, data and analytics, and cloud transformation in addition to three engagement models including talent services, global talent centers, and managed solution capabilities.
Randstad Digital was announced on August 30, 2023, under the umbrella of Randstad, the world’s largest talent company and a partner of choice to clients. Randstad has a deep understanding of the labor market and helps clients to create the high-quality, diverse, and agile workforces they need to succeed. Our 46,000 employees around the world make a positive impact on society by helping people to realize their true potential throughout their working life.
Randstad was founded in 1960 and is headquartered in Diemen, the Netherlands. In 2022, in our 39 markets, we helped more than 2 million people find a job that feels good and advised over 230,000 clients on their talent needs. We generated revenue of €27.6 billion. Randstad N.V. is listed on the Euronext Amsterdam. For more information, see www.randstaddigital.com.