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This position focuses on analyzing and improving logistics network efficiency, particularly optimizing the first, middle, and last-mile processes.
As a key contributor to operational insights and decision-making, you will leverage advanced analytics, build predictive models, and create dashboards to monitor and enhance network performance.
Collaboration with cross-market teams is central to this role, as is the ability to design and implement KPIs aligned with business objectives.
What responsibilities and objectives will you have?Conduct an exploratory analysis of the effectiveness of the network, with a particular focus on first, middle and last mile optimization to improve overall network efficiency.Develop and present insights and recommendations based on the analysis conducted.Work with all our markets to develop advanced operational analytics with a focus on improving the efficiency of the network.Build models to support management decision making.Develop compelling dashboards to measure the impact of new initiatives.Conduct weekly KPI reporting to help broader teams make insightful data-driven decisions.Design and develop new KPIs in line with business objectives to track performance.Create and maintain documentation of analysis, KPIs and business definitions.What will the requirements be?Fluency in English for verbal and written communication.Proven experience as a data analyst or similar role.Ability to work with large data sets, optimize queries/calculations and visualize data.Ability to identify relationships between different pieces of information, draw logical and reliable conclusions and communicate them in a business-friendly manner.Ability to apply statistical and mathematical knowledge to analysis.Strong knowledge of Python (numpy, pandas, matplotlib, seaborn).Strong knowledge of SQL to build database queries.Experience of working with data from a variety of sources (e.g.
DWH, DataLake, Databricks, SQL and noSQL databases).Proficient in Excel.Experience with Power BI and Power Automate.Strong analytical skills.Excellent organizational skills, proactive attitude and ability to work effectively under time pressure.Experience in the logistics sector would be a plus (related to data analysis).What do we offer?Excellent working environment.Professional growth within the company.Flexible working hours.Online platform for lifelong learning.Competitive salary.Flexible remuneration services can be contracted.Inclusive Culture
InPost has an Equal Opportunities Plan that promotes equality at all levels.
We aim for equality in the company's workplaces, as it is focused on promotion, within and outside the company, as well as gender equality, diversity, equity and inclusion of people regardless of their abilities and conditions.
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