Data Scientist

The Data Analyst will play a key role in strengthening the bridge between the Cyber Defense Center (CDC) and the broader business. This position is developing and implementing analytics capabilities that aim to turn cybersecurity data into business insights – enabling us to build metrics, narratives and visual reports that guide strategic decisions throughout the organization.

Main Responsibilities:

• Contribute to the end-to-end implementation of Business Intelligence (BI) solutions – from data integration and modeling to visualization and storytelling.

• Prepare, transform, and analyze data across the Azure-based analytics platform (including data lake, pipelines, and modeling environments).

• Design, maintain, and improve BI dashboards and reports that clearly communicate cybersecurity and operational performance.

• Collaborate with senior team members and other CDC teams (e.g., Security Operations, Threat Hunting, Engineering) to define analytics use cases and integrate diverse data sources.

• Identify patterns, trends, and anomalies in data to support decision-making and enhance cybersecurity operations.

• Ensure data quality, consistency, and documentation across all analytics processes.

• Contribute to the automation and scalability of reporting and analytics pipelines.

• Apply visual storytelling to present complex data in a clear and impactful way.

Who are you?

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field.

• 2+ years of experience as a Data Analyst or in a similar role, with hands-on involvement in end-to-end business intelligence development.

• Practical experience working with cloud-based analytics environments, preferably Azure, including data lakes, pipelines, and data modeling components.

• Experience in designing and building business intelligence dashboards, preferably using Power BI or similar visualization tools.

• Understanding of data extraction, transformation, and loading (ETL) processes and best practices for managing datasets.

• Proficiency in Python, R, or other scripting languages for data analytics.

• Ability to translate analytical results into clear visual insights and narratives for diverse audiences.

• Excellent analytical thinking, problem-solving, and attention to detail.

• Strong collaboration and communication skills, with the ability to work effectively with both technical and non-technical stakeholders.

“In some countries and for specific positions within Volvo Group Digital & IT, background checks may be required, in accordance with local laws & regulations. If this is applicable to the role you have applied for, you will be informed.”

Join us on our transformation journey to the digital future

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