Data Analyst-Logistics

Data Analyst-Logistics Job Description: We are looking for a Senior Data Analyst for our client in the automotive industry within the Logistics team. The organization is transitioning toward a data-driven organization and are looking for a driven Data Analyst to help structure, scale, and lead this transformation You will build the foundations of the data environment while supporting daily operations with pragmatic solutions · Identify opportunities for leveraging data to drive business solution. · Conduct analysis to provide actionable insights, identify trends, and measure performance · Visualise complex analytics output to enable and increase understanding of decision makers · Apply statistics and mathematics models to understand and solve business problems on data. Your mission: -To define and structure KPIs with stakeholders -Build scalable data models and dashboards (Power BI, SQL) -Automate tasks and reduce manual Excel processes -Support operational teams with quick, high-impact fixes -Design long-term solutions that remain maintainable -Promote data governance and best practices -Educate teams and improve data literacy Required skills: -Power BI, SQL, Python or equivalent, Excel/VBA -Microsoft 365, Power Apps, Power Automate -Excellent communication- & presentation skills -You are fluent in English both spoken and written, Swedish is a plus

• You can easily collaborate with others and are effective in building networks / teams -Effectively in priority settings -A service minded “doer” who takes initiatives and is helpful to others -In this role personal skills are key! We are looking for someone selfpropelled and pro-active, who has the ability to independently drive, motivate and inspire others. Experience Required: • A degree in Computer Science, Engineering, Data Science, or a related technical field • Minimum 5+ years of experience in Data Engineering, data science and/or data analysis preferably within the automotive industry and especially within the logistics area. • You are used to working with a variety of data bases with large amounts of data, visualize and present. -Used to working cross functionally in a global environment