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About us
The Volvo Group drives prosperity through transport solutions, offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers’ uptime and productivity. Founded in 1927, the Volvo Group is committed to shaping the future landscape of sustainable transport and infrastructure solutions. Countless career opportunities are offered across the group’s leading brands and entities that share a culture of Trust, Passion, High Performance, Change and Customer Success.
www.volvogroup.com/career.
Volvo Construction Equipment is a global company driven by passion, curiosity and by our purpose: to build the world we want to live in. We believe that only through imagination and teamwork can we develop a world that is cleaner, smarter and more connected. Our company culture reflects this belief through the care and trust it places in our customers, employees and suppliers. People are at the heart of our business. It is through our strong network of talented, enquiring and innovative minds that we have been able to pave the way towards a more sustainable future. The global construction industry is our arena and our employees are our greatest assets.
We can only continue to stand out as industry leaders through the people driving us forwards. Come be a part of our team and help us build tomorrow.
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::General knowledge of construction and home improvement. ::Great customer service skills and sales experience. ::Reliable transportation to/from work.
The CCR Data Analytics Analyst is a developing professional role. The CCR Data Analyst will join a team of data professionals that are familiar with the latest
The Amtrak ADA Stations Program (ADASP) is responsible for bringing Amtrak stations into compliance with the Americans with Disabilities Act.
Enjoying flexible schedules to meet your needs. Flexible Full time and part time hours. Competitive wages with the opportunity to earn more via sales contests
Proven ability to generate, analyze, and draw conclusions on large amounts of data to support efficient management of the category and drive critical business