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4 дня назад

Working Student - Operations Analyst (Logistics)

16
Формат работы
hybrid
Тип работы
parttime
Английский
b2
Страна
UK/Poland/Spain +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Working Student - Operations Analyst (Logistics) (Supply Chain Analytics): Preparing data, supporting strategic logistics network models, and building dashboards for assortment, fulfilment-centre, and capacity-planning decisions with an accent on data quality, scenario analysis, and process documentation. Focus on automating repeatable data tasks with Python or Power Query, validating modelling inputs, and presenting network scenarios and KPIs to stakeholders.

Location: Munich, Germany; hybrid work with 60% of time in the office and 40% at home. Option to work abroad for up to 20 days in approved countries.

Salary: 16 EUR per hour.

Company

hirify.global is a pet e-commerce company serving more than 12 million customers across a multinational European organisation.

What you will do

  • Gather, clean, organise, and validate data on assortment, capacity, lead times, and demand.
  • Support strategic logistics network models and scenario analyses, including status quo, target network, and sensitivity scenarios.
  • Document model assumptions, logic, governance details, processes, Wiki pages, and onboarding materials.
  • Build dashboards with Python, Plotly, Streamlit, Tableau, or Power BI to monitor data quality, model inputs, outputs, and KPIs.
  • Automate repeatable data tasks and create validation checks for assortment, SKU curves, throughput, and timelines.
  • Prepare presentations and communicate findings through tables, charts, and bullet points.

Requirements

  • Enrolled student with at least six months remaining in the programme.
  • Studies in logistics, supply chain, data science, operations research, industrial engineering, economics, or a related field.
  • Strong analytical abilities and an interest in data-driven problem solving, modelling, and scenario planning.
  • Strong proficiency in Excel; experience with Python, SQL, Tableau, or Power BI is advantageous.
  • Structured, reliable, communicative, and eager to learn.
  • Availability for 20 hours per week for six months; English proficiency required.

Culture & Benefits

  • Hybrid working model with office and home working.
  • Development opportunities, training, and career support.
  • Wellbeing offers and subsidised transport or bike leasing.
  • 20% discount on hirify.global products.
  • Multinational working environment with offices across Europe.

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