The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. The Volvo Group, with its headquarters in Gothenburg, employs about 100,000 people, has production facilities in 18 countries and sells its products in more than 190 markets.
We are looking for candidates who exhibit strong attributes such as assertive communication,interpersonal skills, adaptability, logical reasoning, initiative, resilience, and a commitment to continuous improvement. Additionally, candidates should have graduated within the last two years, as we are seeking individuals who are early in their careers and eager to grow. With a focus on process analysis and enhancements involving data analysis, digitalization, and automation, you'll have the opportunity to drive impactful changes within our finance landscape,contributing to our ongoing innovation and efficiency efforts.
Within our program, we offer two distinct opportunities. You can choose to join either the Financial Control & Accounting (FCA) team or the Volvo Trucks team! Check out the requirements for each one:
Graduate Program - Volvo Trucks
Main Responsibilities:
- Drive improvement projects focused on data analysis, digitalization, and process automation.
- Develop complex data pipelines in Microsoft Azure and optimize existing ones.
- Extract actionable business insights through data analysis to address finance areachallenges.
- Assist in building infrastructure for data extraction, transformation, and loading into Microsoft Azure.
- Collaborate closely with analysts and data scientists to provide necessary data frameworks.
- Evaluate and enhance current data analysis solutions.
- Work with teams to integrate systems.
Graduate Program - Volvo Trucks
Required Skills:
- Ability to work in multicultural teams (Sweden, Argentina, Chile, Peru, Brazil).
- Proficiency in Data Analytics and/or Business Intelligence tools (Power BI / Tableau /QlikSense).
- Familiarity with Microsoft Data Fabric, Azure, MS SQL, Databricks (Database).
- Proficiency in Python and/or R programming languages.
Desirable:
- Experience in data engineering, analysis, and process automation.
- Familiarity with Power BI or similar data analysis tools.
- Knowledge of Power Platform (Power Apps, Power Automate, etc).
- Understanding of finance is a plus.
Education:
- Bachelor's degree in IT or related fields (Information Systems, Computer Science,Computer Engineering,
- Data Analysis, Data Science, Mathematics, Statistics),engineering.
- Fluent in English.
- Spanish will be a plus.