GR
Data Analyst optimizing IoT fleet performance and enhancing device management at Gridware. Collaborating cross - functionally to forecast performance and guide operational decisions.
About the role
- Support the team in driving various data initiatives
- Collaborate with data professionals and stakeholders to create business value through data-driven solutions
- Collaborate with various business functions, gaining broad exposure, building knowledge and experience with banking processes and products
- Collaborating with stakeholders to understand business needs and opportunities by leveraging data-driven insights
- Supporting to collect requirements using a variety of methods - such as data analysis, interviews, document analysis, work shadowing and process reviews
- Working independently to extract and analyze data using predetermined tools, methods, and formats to create business insights
- Performing data pre-processing, including for example data cleaning and integration, and support data engineering activities
- Applying and developing data analysis methods to various situations, sourcing data from multiple data sources
- Designing, developing and maintaining various data and analytics reports and dashboards, and securing documentation for developed codes and analytics solutions
- Supporting Analytics Engineers and Data Scientists with execution of Analytics cases and Data Science projects
- Supporting interpretation of advances and predictive analytics data, using specialized software tools and functionalities
- Supporting the creation of machine learning algorithms by applying standard statistical analysis or data preparation methods
Requirements
- Graduated within the past two years, or will graduate before the programme starts on 1st September 2026 – from a relevant academic degree
- Strong analytical and problem-solving skills, and the ability to take ownership
- Great communication skills and to be able to work in English
- Skills in programming: R or Python for data analysis, SQL for query and manipulating databases
- Knowledge of Data Visualization tools – such as Tableau, PowerBI or Looker
- An understanding of statistical concepts and methods
- The ability to work independently as well as collaboratively to ensure implementation of analytics cases
Benefits
- A nine-month trainee programme, designed for professional and personal development
- A full-time employment in the role you have been hired for, after completing the programme successfully
- A real business challenge to solve with other participants in the International Trainee and Tech Trainee programmes, where you can create value and make a difference for SEB
- International exposure with opportunities to work at SEB offices in other countries
- A caring, supportive and respectful culture
- Chances to make an impact on social or environmental issues
- Extensive training and learning opportunities
- Mentorship from senior leaders
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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