Senior Data Analyst

Jobtailor

Münster

Vor Ort

EUR 65.000 - 95.000

Vollzeit

14 Tage+

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Zusammenfassung

Jobtailor is seeking a seasoned Data Analytics Lead for our logistics operations in Münster. You will own company-wide KPI systems and monitoring, shaping a data-driven decision culture across senior management and site operations.

Collaborate with multiple departments and guide end-to-end KPI frameworks from concept to rollout. You will structure, analyze and visualize complex logistics data, supporting strategic and operational decisions for 30+ sites.

Qualifikationen

  • Several years of relevant experience in data analytics, ideally in logistics or operations.
  • Degree in (business) computer science, mathematics, logistics or data science.
  • Independently designed and implemented company-wide control instruments for leaders.

Aufgaben

  • Own and shape KPI and monitoring systems used by senior management and stakeholders.
  • Collaborate with multiple departments and act as a data-driven partner for on-site locations.
  • End-to-end responsibility for KPI and control frameworks from design to rollout.
  • Structure, analyze and visualize logistics data to support decision-making for 30+ sites.
  • Manage senior stakeholders as a bridge between data and operations.
  • Assess impact of optimizations and embed improvements in daily operations.
  • Develop reporting structures and dashboards, and enable teams to be more data-driven.
  • Develop dashboards, automations, and reporting logic.

Kenntnisse

SQL
Power BI
Low-code tools
Python
Data analysis
Communication

Ausbildung

Bachelor's degree in data science, computer science, mathematics, logistics

Tools

Databricks
Cloud technologies

Jobbeschreibung

Responsibilities
  • You take responsibility for company-wide KPI and monitoring systems that are used daily by senior management and operational stakeholders, and you actively shape the data-driven decision culture in operational logistics.
  • You stay close to the processes and work closely with various departments.
  • You take end-to-end responsibility for company-wide KPI and control frameworks, from conception through technical implementation to rollout.
  • As a business partner for Operational Logistics, you structure, analyze and visualize complex logistics data to provide robust decision-making foundations for the strategic and operational management of more than 30 logistics sites.
  • You manage stakeholders at the senior management level while acting as an operational sparring partner for on-site locations, serving as a bridge between data and operational reality.
  • You assess the impact of optimization measures, derive recommendations for action and ensure that improvements are sustainably embedded in day-to-day operations.
  • You are responsible for the quality, consistency and further development of our reporting structures and ensure transparency across all relevant KPIs.
  • You drive the development of new dashboards, automations and reporting logics and support teams in becoming more data-driven.
Requirements
  • You have already gained several years of relevant experience in the data analytics field, ideally in logistics or operations.
  • You typically hold a degree in (business) computer science, mathematics, logistics or data science.
  • You have independently designed and implemented company-wide control instruments that are used by leaders for operational and strategic decisions.
  • You are strong and highly effective in SQL, Power BI and low-code tools.
  • You stand out through good knowledge of Databricks, cloud technologies and Python, and you use AI tools selectively where they truly advance your work.
  • You can communicate complex analyses clearly and understandably—whether in a dashboard or in discussions with stakeholders.
  • You quickly recognize relationships between data and processes, develop practical solutions independently with a high standard of quality, and thereby create measurable momentum for the future of flaschenpost.
  • You speak German well and ideally bring good English skills.
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