Logistics Data Analyst: Dashboards & KPIs, Hybrid Work
Autodoc Group
Szczecin
Hybrid
PLN 90,000 - 140,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Competitive salary
Cafeteria benefits system
Transportation services
Mental Wellbeing Program
Corporate discount for car parts
Flexible working hours
Free language classes
Job summary
A leading automotive tech company located in Szczecin, Poland is seeking a Data Analyst to support data-driven decision-making in logistics. This role involves data collection, KPI monitoring, and providing actionable insights to enhance performance and optimize costs. The ideal candidate should have a relevant degree and 2–4 years of experience in data analysis, with strong skills in SQL and advanced Excel. Competitive benefits and opportunities for career advancement are offered, alongside a flexible hybrid work model.
Qualifications
2–4 years of experience in data analysis, ideally in logistics, e-commerce, or supply chain environments.
Ability to present technical results to non-technical stakeholders.
Basic knowledge of Python or R for automation.
Responsibilities
Gather and consolidate data from various systems to maintain a robust internal database.
Analyze operational data to identify performance gaps and optimization opportunities.
Design and maintain key performance indicators and provide reports.
Skills
SQL
Advanced Excel
Power BI
Tableau
Fluent Polish
Fluent English
Education
Degree in a technical, analytical or numerical field
Tools
WMS
ERP systems
Job description
A leading automotive tech company located in Szczecin, Poland is seeking a Data Analyst to support data-driven decision-making in logistics. This role involves data collection, KPI monitoring, and providing actionable insights to enhance performance and optimize costs. The ideal candidate should have a relevant degree and 2–4 years of experience in data analysis, with strong skills in SQL and advanced Excel. Competitive benefits and opportunities for career advancement are offered, alongside a flexible hybrid work model.