Data Quality Operations Analyst

  • Full Time
  • Paris


Job title: Data Quality Operations Analyst

Company: Shippeo

Job description: At Shippeo, we connect thousands of carriers and collect millions of data points daily to provide business-critical visibility to our ocean and road customers. Our Data Quality team plays a pivotal role in our operations, ensuring continuous monitoring and enhancement of data completeness and accuracy shared with our customers. As a Data Quality Operations Analyst reporting to a Senior Data Quality Manager, your role is to support this mission by monitoring data quality in multi-modal logistics, engaging carriers, and collaborating closely with our Carrier, Customer Success, and Product teams to enhance our data quality.

Key responsibilities:

Implement Data Quality playbooks and protocols on a daily basis:

Review dashboards and incoming alerts

Analyze and investigate issues to identify root causes following our internal methodology

Engage in issue resolution by interacting with carriers (calls, meetings, email campaigns) or internal stakeholders

Conduct ad-hoc analysis and action plans based on Data Quality requests from internal teams or customers, providing specific reports as needed for customer onboarding and success

Occasionally participate in Data Quality status calls with customers

Own Data Quality metrics within your scope, measure and report them to your manager, peers, and the company. Ultimately, define action plans and requirements to further improve Data Quality.

Support the design and implementation of internal processes, playbooks, and automation related to Data Quality.

Encourage new ideas and improvements, coordinating the development of carrier solutions and new platform features with our Tech and Product teams.

Preferred experience

Qualifications

Preferred Experience and Profile:

Proficiency in French and English (mandatory), Germand is a plus

Master’s Degree, preferably in Business, Economics, Supply Chain, or Logistics Management

Experience in the transport/logistics industry or in the Operations department of a startup

Required Skills and Qualities:

Ability to engage with internal and external stakeholders at all levels of seniority

Proven data analysis skills, with the capacity to perform data cleaning, transformation, and insights discovery

Proficient in MS Excel or Google Sheets

Tech-savviness and understanding of the API world is a strong plus

High level of organization and attention to detail

Ability to work independently with G-Suite, MS Office (Excel, Word, PowerPoint)

Proactive, self-starting attitude

Performance and improvement-focused

Ability to complete tasks while keeping all parties informed of impacts on timelines

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The company

Shippeo

Artificial Intelligence / Machine Learning, Logistics

225 employees

Founded in 2014

Average age: 32 years old

Who are they?

Founded in 2014, Shippeo is a global leader in real-time multimodal transportation visibility, helping major shippers and logistics service providers operate more collaborative, automated, sustainable, profitable, and customer-centric supply chains.

Hundreds of customers, including global brands such as Coca-Cola HBC, Carrefour, Renault Group, Schneider Electric, Total, Faurecia, Saint-Gobain and Eckes Granini, trust Shippeo to track more than 28 million shipments per year across 92 countries.

Having already raised €110 million in funding, Shippeo grows on average by 80% year on year. Their team of Shippians comprises 28 different nationalities, speaking a total of 24 languages.

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Expected salary:

Location: Paris

Job date: Sun, 10 Dec 2023 01:04:08 GMT

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