Data Analyst H/F - Mytraffic Paris 9e - 75

We have an outstanding Data Analyst position opened in our Data Excellence team. As a Data Analyst, you will BE responsible for our insights quality continuous monitoring and for leading the data investigations triggered both by technical alerts and client feedback. Our Data Excellence team is tightly related to our Data Engineering and Data Science teams within our Data department providing data quality insights that help us prioritize our roadmap.

So, if you are interested in statistical modeling, time-series, data quality and having an impact in a fast-paced organization, then this job is for you !
Mission
Your main goals will BE to :
- Investigate insights quality issues by running data analyses
- Summarize your data analyses conclusions to the Customer Success team
- Analyze the evolution and potential biases of our raw data sources
- Understand the associated impacts for our algorithms
- Identify improvements for these algorithms
- Improve our insights quality monitoring strategy and tooling

To achieve this, you will develop an in-depth understanding of our raw data sources and algorithms. IT's also an unique opportunity to interact both with R&D and business team stakeholders, playing a key role in our organization and reporting directly to the VP Data.
Technical stack
On a daily basis you will work :
- In AWS and GCP cloud environments
- Using Python, Pandas and Streamlit
- On a very large amount of daily updated geolocation data in France and Europe

- At least 2 years of XP as a Data Analyst in a tech environment
- Passionate about understanding data and associated processing
- Strong ability to synthesize your analysis findings
- Native french speaker and good oral and writing skills in english
- Brave enough to work in an environment where there is little training data
- Rigorous, organized and methodical
- Enjoy working in team in a fast-paced environment

Nice to have
- Familiar to algorithms using geolocation data (timestamp, latitude, longitude)
- Eager to learn good software engineering practices, writing quality code