Data Quality Operations Analyst
Paris, France
Applications have closed
Shippeo
Shippeo is a global leader in real-time multimodal transportation visibility, helping major shippers and logistics service providers deliver exceptional customer service and achieve operational excellence.Company Description
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. Our team of Shippians comprises 28 different nationalities, speaking a total of 24 languages.
Job Description
At Shippeo, we connect thousands of carriers and collect on a daily basis millions of data points to provide business-critical visibility to our customers about their Supply Chain. Our Data Quality team is at the heart of our Operations and responsible to ensure the continuous monitoring and improvement of the data completeness and accuracy we share with our customers. As a Data Quality Operations Analyst, reporting to a Senior DQ Manager, your role is to support this mission on a daily basis by monitoring, engaging carriers, and working closely with our Carrier, Customer Success and Product teams to improve our tracking rates.
Your responsibilities will include:
- Apply Data Quality playbooks and protocols on a daily basis
- Review dashboards and incoming alerts
- Analyze and drill-down in issues to find root-causes
- Engage in resolution either by engaging carriers (specific calls, meetings, email campaigns) or internal stakeholders
- Engage in ad-hoc analysis and action plans based on DQ requests from internal teams or customers; provide specific reporting as needed by other teams to support customer onboarding and success
- Occasionally participate in DQ status call with customers in hypercare
- Own DQ metrics and their improvement on given scope - measure and report accordingly to manager peers and company. Ultimately define action plans and requirements to further improve DQ
- Encouraging new ideas & improvements and co-ordinate the development of carrier solutions and new platform features with our Tech & Product team
Qualifications
You are our next Shippian if you:
- are fluent in French and English (mandatory)
- validated a University Degree, preferably in Business, Economics, Supply Chain or Logistics Management
- have the ability to engage both internal and external stakeholders at all levels of seniority
- have proven data analysis skills with capacity to perform simple data cleaning, transformation and find insights
- bring excellent user knowledge of MS Excel or Gsheet and ability to work independently with G-Suite & MS Office
- have a high level of organizational skills and attention to detail as well as performance improvement focused
- Bring the ability to complete tasks whilst keeping all parties informed of impacts to timelines
- Tech-savviness and understanding of API world is a strong plus
- have experience in transport/ logistics industry or in the Operations department of a start-up (this is an advantage)
Additional Information
Recruitment Process :
- Preliminary call with our Recruiter
- 1st interview with the hiring manager
- Home assignment and Assignment presentation
- Fit interview with the team
We are looking for talents who share our values:
- 🚀 Ambition
- 💙 Care
- 🎯 Deliver
- 🤝 Collaboration
Find out more about our values in Our Culture Book
If you identify with our values and enjoy working in a fast-paced and international environment, Shippeo is just the place for you!
Would you like to discover more? Click here :
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Data analysis Data quality Economics Excel
Perks/benefits: Startup environment
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