Data Analyst

Company:  Wooclap
Location: Paris
Closing Date: 02/11/2024
Salary: £60 - £80 Per Annum
Type: Temporary
Job Requirements / Description
Reversing the usual use of technology in the classroom and putting digital at the service of teachers (and not the other way around), it’s the innovative and inclusive approach that Wooclap adopts on a daily basis to make learning effective and exceptional.With their platform of interactive questions to which students answer in real time with their smartphones, tablets or computers, more than 2,000,000 teachers around the world make their lectures more interactive, efficient and adapted to their students’ expectations, thanks to Wooclap. In distance learning or face-to-face.The success of the product is linked to the simplicity of use and the partnerships they’ve made with teachers, researchers and specialists in cognitive sciences to create features in line with the users’ needs.Data at Wooclap is important to empower other teams and to take informed decisions such as improving the product, understanding our weaknesses and opportunities.The data team is expanding to meet the new challenges imposed by Wooclap’s growth. Our sector moves fast, and so do we: we remain on the cutting edge. With this in mind, we are looking for our new data analyst to join us. A number of new challenges are ahead of us, and if you are comfortable with a growing team that places innovation at the heart of its development, then this position is for you.We are a fully remote team that places great importance on cohesion and mutual support and we believe we offer a unique and genuinely healthy work environment.Your goal will be to help Wooclap teams make informed decisions by creating KPIs, A/B tests, and dashboards. You will also need to be comfortable with the rest of the technical stack, even if it is not your core expertise; our data infrastructure is hosted on AWS and we use technologies such as Athena, Airflow, K8s/Docker, etc. You will mainly program in Python or R depending on the cases.Ideally, you have between 2 to 4 years of experience as a data analyst and are comfortable with remote work.Location - Paris / Full RemoteFull-time positionCompensation commensurate with experienceFull medical insurance (Alan)Hybrid Working Policy with Homeworking feesMacBook and iPhoneReimbursement of your Public Transportation up to 50€Reimbursement of your Phone Subscription up to 50€Woocredits (150€/year) to buy learning materialsYou have a master's degree and/or relevant experience in data analytics.You speak fluent French and have good written and spoken English skills.Experience interacting with non-technical profiles (product managers/designers, sales/marketing teams, clients, etc.). You can communicate about technical topics without unnecessary jargon.You already use both R and Python and their data-oriented libraries: pandas, numpy, sklearn, data table, etc. and you master one or both.You have a very good knowledge in SQL and ideally you’ve already used Trino on Athena.You have a solid understanding of statistics and have used it to help a business.You are proactive and can propose analyses to help the business teams in their development.You have a learning mindset and are curious about cutting-edge technologies.You know how to work in a team, are always ready to help others especially when problems are complex and need multiple brains.You have experience using Git and other standard development tools.Ideally, you’ll have:Experience with BI tools like Metabase, Tableau, QuickSight, etc. or with dashboard development tools like Shiny.You are familiar with the AWS environment, knowing the architecture of a data lake with S3/Glue/Athena is a plus.Interview Process:30’ Screening interview with the hiring manager90’ Business Case with 2 members of the Data Team30’ Panel interview with your future colleagues30’ interview with Baudouin, our CEO30’ Closing interview with Anabela, our Head of People #J-18808-Ljbffr
Apply Now
Share this job
Wooclap
An unhandled exception has occurred. See browser dev tools for details. Reload 🗙