Data Analyst 

ID: 753527170 – 950
Location: Göteborg
Length: 2024-04-22 till 2025-05-30
Scope: 100%

Background
At our client (Volvos) “Software factory” they’re building a community with highly skilled personnel. Our client wants to harmonize the workflows and developing tools to be used across R&D, with the aim to accelerate the software development at Volvo Cars.

The Software factory are responsible for:

• Developing continuous integration (CI) architecture & infrastructure.
• Maintaining the complete software build and CI flow.
• Enabling high utilization of infrastructure, test objects and test artefacts.
• Creating automated tools & applications to secure an efficient flow.
• Supporting traceability to fulfil all legal requirements.
• We are applying manufacturing principles and techniques to software development to mimic benefits of traditional manufacturing and creating a software product line.

Main responsibilities
In the role of a Data Analyst, you will spearhead the presentation of gathered data, thereby bolstering all data-driven decision-making processes. Collaborating closely with data engineers, data scientists, and stakeholders, you will explore ways to leverage data sets to address a variety of challenges. Your proficiency in transforming intricate data findings into comprehensible visual representations is crucial in providing clarity to our stakeholders. Your expertise will be instrumental in data cleansing processes, ensuring the reliability and consistency of our data. You will play a pivotal role in uncovering valuable insights and delivering conclusive information to our stakeholders.

Required qualifications

• M.Sc. in Electrical and/or Software Engineering, Computer Engineering, or similar relevant experience.
• Automation scripting Python, Bash, Batch, Groovy or Shell.
• Strong understanding of SQL for data manipulation and querying.
• Proficiency in data analysis tools like Excel, Tableau, Power BI, etc.
• Familiar with Machine Learning techniques
• Strong collaboration and communication skills to work effectively with data scientists, data engineers, and stakeholders.
• Experience working in an agile environment with agile methodologies like Scrum, Kanban, SAFe, etc.

Personal qualities

• Structured way of working.
• Positive attitude.
• Self-driven, result oriented and flexible.
• Team player with good communication skills.
• Creative mindset.