Data Analyst - Internship

Company Description

Founded in 2014, Shippeo is a French SaaS company leading the European market in helping shippers and logistics companies track their freight shipments in real-time to improve visibility throughout their end-to-end supply chains.

Relied on by global brands including Carrefour, Total, Schneider Electric, Faurecia, ThyssenKrupp, Saint-Gobain, Renault and Eckes Granini, Shippeo's platform helps customers track more than 25 million shipments per year across 75 countries.

Having already raised €71 million in funding, Shippeo is growing rapidly. The team has more than tripled in size to 220 within 2020 and 2021 and the scaling is continuing throughout 2022. Our team of Shippians comprises 27 different nationalities, speaking a total of 29 languages.

Job Description

We are looking for an Intern in Data Analytics to join our Data-as-a-Service team.

The Data-as-a-Service team is responsible for leveraging the large amount of data that Shippeo has been acquiring over the course of running the platform and rolling it out to multiple shippers and carriers, to get insights from it and deliver data products that fall into the following categories:

• analytics (e.g., dashboards for internal use, dashboards embedded on the Shippeo platform),

• decision support tools,

• data extraction,

• newsletters.

Some features the team builds and improves are Shippeo customer-facing and internal dashboards. We are constantly looking for new ways and new KPIs:

• to highlight operational issues and trends and exhibit them to our customers,

• to monitor the quality of the data generated on Shippeo platform,

• to measure the usage of Shippeo features by our different users and to leverage actions to optimize this usage.

As an intern, your missions will mainly consist in:

• Building reporting dashboards of data quality of Ocean and Road flows
  Internal stakeholders need dedicated tools:

  • to monitor the data quality of our ocean flows and to help them leverage actions to clean data issues - data quality is key for our Ocean customers to successfully, accurately and timely track their containers,

  • to communicate on the data quality of our road flows and to help our customers improve their tracking, the visibility of their operations performance and of their carbon emissions.

Your role will be to build new tools, maintain them and the existing ones, fetch and transform the data you will need, and provide suggestions of solutions to improve the monitoring of the data quality.

• Running analysis of root causes for performance issues : Road transportation can meet various operational issues impacting punctuality and conformity of transport orders. These issues are not reported by carriers or shippers, yet a large amount of data is processed throughout the Shippeo platform with insightful information waiting to be unraveled. You will be in charge of running investigations in the data at your disposal to highlight what root causes of carrier performance issues could be highlighted and reported to our customers. Eventually, you will be providing guidelines on what and how to show these insights on the Shippeo platform. 

Your missions will also include: 

• Understanding the current data pipeline used by Shippeo to build analytics products,

• Understanding the requirements and defining the business problems,

• Fetching data from various data sources,

• Performing various analyses through the use of statistical analysis and data visualization techniques,

• Communicating your findings to various stakeholders,

• Interacting with senior data analyst(s) and the product team to improve and refine your work,

• Contributing to the maintenance of other data products,

• Interacting with internal stakeholders to contribute to the data culture within the company, such as running adequate presentations and helping the stakeholders understand better the data and our products.

Qualifications

Your profile

• You are pursuing a MSc degree (or equivalent) in Engineering or Business

• You have a strong analytical mindset with the ability to collect information, inspect it with attention to detail and accuracy, and provide suggestions based on your findings

• You’re able to report and present your results

• You have knowledge and skills in SQL and in data visualization (knowledge in Python is also appreciated)

• You’re fluent in English

Additional Information

Recruitment process

1. Preliminary call

2. Technical / case study interview