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Operations · San Fernando de Henares - Office and Warehouse · Hybrid

Data Analyst

Everything you are looking for and more 📦

We are looking for a highly analytical and results-driven experienced Data Analyst to join our team and drive operational excellence across our logistics network. In this role, you will analyse large data sets, develop actionable insights, and build tools that optimize performance across the first, middle, and last mile. You will work closely with cross-functional teams across multiple markets, helping leadership make data-driven decisions to improve efficiency, reduce costs, and enhance overall network performance

What responsibilities and objectives will you have?

  • Conduct exploratory analysis of network effectiveness, with a particular focus on first, middle, and last mile optimisation

  • Turn complex data into clear insights and recommendations that any stakeholder can understand and act on

  • Collaborate with our markets to develop advanced operational analytics aimed at improving network efficiency

  • Build models to support management decision-making

  • Design and maintain dashboards that measure the real impact of new initiatives

  • Lead weekly KPI reporting for cross-functional teams

  • Define and design new KPIs aligned with business objectives

  • Document analyses, KPIs, and business definitions in a rigorous and accessible way

Well, what will the requirements be?

Essential:

  • Fluency in English, both written and spoken

  • Proven experience as a Data Analyst or in a similar role

  • Ability to work with large datasets, optimise queries, and visualise results effectively

  • Strong ability to identify relationships between data points, draw solid conclusions, and communicate them clearly to a business audience

  • Solid knowledge of Python (numpy, pandas, matplotlib, seaborn)

  • Strong SQL skills for building database queries

  • Experience working with data from multiple sources (DWH, Data Lake, Databricks, SQL and noSQL databases)

  • Advanced Excel skills

  • Experience with Power BI and Power Automate

  • Ability to apply statistical and mathematical knowledge to analysis

  • Proactive, organised, and able to deliver accurate work under time pressure

  • Experience using AI to generate actionable solutions and communicate findings to a range of stakeholders

Nice to have:

  • Practical knowledge of MS Azure (Data Lake, Databricks)

  • Experience in the logistics sector applied to data analysis

  • Additional languages: Polish, Portuguese, Italian, or French

What do we offer?

  • Language platform

  • Wellbeing programme

  • Flexible working hours

  • Online platform for lifelong learning

  • Competitive salary

  • Flexible remuneration services can be contracted

Why join us?

At InPost, you will play a key role in shaping how millions of customers interact with last-mile delivery solutions. You will work in a fast-growing, innovative environment where your contributions directly support the company’s expansion and market presence. Our culture is built around five key behaviours, driven by a strong “Go Go Go” mindset focused on speed and determination.

  • CHAMPION THE CUSTOMER: We put the customer at the center of everything we do and strive to exceed expectations.

  • OWN IT: We take responsibility, act with initiative, and proactively drive solutions.

  • DARE TO DISRUPT: We embrace innovation, ambition, and continuous learning to grow and improve together.

  • MAKE IT HAPPEN: We adapt quickly, learn constantly, and move forward with Smart execution.

  • WIN TOGETHER: We achieve great results through collaboration, recognition, and a shared winning mindset.

Inclusive Culture

At InPost, we are committed to building a diverse and inclusive workplace. We welcome applications from all backgrounds and believe that different perspectives strengthen our teams and drive better results.

Department
Operations
Role
Data
Locations
San Fernando de Henares - Office and Warehouse
Remote status
Hybrid
Operations · San Fernando de Henares - Office and Warehouse · Hybrid

Data Analyst

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