Junior Data Analyst - Intern

Junior Data Scientist - Intern

As a Junior Data Scientist, you will collaborate with a dynamic team of engineers and data scientists to develop, implement, and optimize data-driven solutions. Your work will focus on building data pipelines, managing databases, and leveraging Oracle Cloud Infrastructure (OCI) for cloud-based data operations. This role is perfect for graduates with a strong foundation in databases, ETL processes, and a passion for data analysis and machine learning.

• Develop, test, and maintain data pipelines using ETL processes to ensure the efficient movement and transformation of data.
• Design and manage databases, ensuring data integrity, optimization, and availability for analytics.
• Collaborate with the data science team to preprocess and prepare data for machine learning models.
• Implement cloud-based solutions using Oracle Cloud Infrastructure (OCI) services to support data operations and storage.
• Monitor data workflows and troubleshoot issues related to data quality and performance.
• Document data architecture, processes, and models, ensuring transparency and ease of collaboration.
• Participate in team meetings, providing insights on improving existing data processes and workflows.

Requirements:

• Strong knowledge of database management, including SQL for query writing, optimization, and data manipulation.
• Familiarity with ETL (Extract, Transform, Load) processes for efficient data transformation and loading.
• Basic experience with Oracle Cloud Infrastructure (OCI), including its services such as Oracle Autonomous Database, Oracle Data Flow, and Oracle Object Storage.
• Understanding of Python for data manipulation and automation tasks.
• Familiarity with version control tools such as Git.
• Ability to work within a team and communicate technical information clearly.
• Strong motivation and enthusiasm to grow within the field of data science.

Desired Skills:

• Experience with other database platforms like MySQL, Oracle, DB2 or SQLServer.
• Knowledge of advanced analytics, including data visualization tools such as Power BI or QlikSense.
• Familiarity with machine learning concepts and the ability to implement models using Python libraries like Scikit-learn or TensorFlow.
• Experience with CI/CD pipelines for data-related projects and Agile methodologies.
• Ability to identify and solve performance bottlenecks in large-scale data environments.

Preferred Characteristics:

• Strong problem-solving skills with an eye for detail.
• A background in database management or SQL development is highly desirable.

Electrolux Professional Group - meeting needs beyond tomorrow

Electrolux Professional Group is the sustainability leader in our industry and one of the leading global providers of food service, beverage, and laundry equipment for professional users. Our innovative products and worldwide service network make our customers’ work-life easier, more profitable – and truly sustainable every day. Our solutions and products are sold in over 110 countries. In 2024, the Electrolux Professional Group had global sales of SEK 12.5bn and approximately 4,300 employees. Electrolux Professional’s B-shares are listed at Nasdaq Stockholm. For more information, visit https://www.electroluxprofessionalgroup.com