Data Analyst-Logistics

Om jobbet

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