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Data Scientist/Analytics - Remote Friendly

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Contenu de l'offre Data Scientist/Analytics - Remote Friendly chez Qonto

Our mission? Creating the finance solution that energizes SMEs and freelancers, so they can achieve more. We simplify everything from everyday banking to bookkeeping and spend management. At Qonto, we’re passionate about creating the best product - with both impact and a great user experience. So if you’re looking for an ambitious team that’s revolutionizing a rather old-fashioned industry, get in touch. You can find out more about the Qonto Way here.
Alexandre and Steve launched Qonto in July 2017. Since then, the team has made great strides: Becoming market leader for online SME banking in Europe with 250,000 SME clients Getting recognized as one of the Top 10 startups to work for (LinkedIn | Glassdoor) Opening offices in Paris, Berlin, Milan, and Barcelona 600+ happy Qontoers building a finance solution businesses love to use.
Our values:
Ambition | We tackle big challenges. No matter what Teamwork | We create momentum by working together, at the same speed Mastery | We pursue excellence through continuous learning. We face challenges with humility. Every day Integrity | We're open. We're honest. And we earn the trust of our clients and each other
Qonto has grown a 40+ data team with Data Engineers, BI and Data Scientists working together to deliver great dashboards, reports and data products. Now is the time for Qonto to invest in advanced analytics. Qonto is looking for talented Data Scientists-Analytics to join its great Data Analytics team. Data Scientists-Analytics will make key contributions to Qonto through measure protocols and insights. By insights we mean action recommendations with impact estimations. Insights are instrumental to optimize marketing spends, improve the Qonto product, identify growth levers and reduce waste.
Mission: Join us as Data Scientist-Analytics to conduct data investigations like a modern Sherlock Holmes.
Impact: As a Data Scientist-Analytics, you will work closely with Jérémie our VP of Data, and join our first Data scientist analytics to bring value to Qonto’s business teams thanks to three functions: Measure protocol, Investigations, and Insights.
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As a Data Scientist-Analytics at Qonto, you will:
Spot defects and growth levers through in-depth data analyses Setup adapted measure protocols (A/B tests, etc.) to help business teams assess their action's impact Use Statistics, Econometrics and ML to introspect data Deliver slides and do the storytelling to turn insights into actions
What you can expect

Join Qonto who is winning SME banking in Europe. Qonto is on track to power one million SMEs in 2025. Work with a top-notch team There is a whole new capability to develop: analytics The impact on Qonto will be tremendous because data has a strong role to play Qonto has an amazing business trajectory (for more business-oriented people)
Your future Head of

Your Head of will be Jérémie, VP of Data
His background? Before joining Qonto, Jeremy was an associate professor at Telecom Paris and Telecom SudParis. He led data teams for some of France's most reputed digital companies and still advises several deep tech startups. He teaches at Ecole Polytechnique and co-authored over 50 scientific papers.
What does he bring to the team? Jeremie defines a clear vision and path to success for our data platform, BI, data science analytics, and data products teams. He ensures they operate efficiently and have a smooth collaboration with other departments at Qonto. He also helps them continuously learn new skills while improving their existing ones and is still very involved in the hiring of his teams.
About You

Experience: You have a strong experience in data analytics Mastery: You are familiar with tools from Statistics and Econometrics that are involved in everything else being equal analyses Simplicity and customer-obsessed: You prefer simple solutions and are obsessed about business impact Languages: You are fluent in English. French is a plus.
If you read this far and feel like this could be a great opportunity for you, don't let the imposter syndrome prevent you from applying and hit the button "Apply", we'd really love to hear from you! Perks A laptop. An inclusive work environment. A tailor-made career track. And so much more to help you succeed…
Office & Team Life
A fully-renovated building near Opera with WeWork services The latest equipment from Apple Monthly team events Free coffee and snacks in the kitchen
All our benefits
A competitive salary package Remote Policy: from 2 days per week to Full remote 5 to 10 days off in addition to the legal 25 days Alan health insurance, Moka Care to take care of your mental health, and Gymlib for sports and wellness activities Swile Card for lunch An inclusive environment with a focus on parity: 40% of our teams are women A progressive parenthood policy as part of our commitment to the Parental Act (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners Relocation package and visa sponsorship for international talents (we have 50+ nationalities) including access to Busuu to improve your language skills Career tracks and mobility opportunities that can match all expectations
Our hiring process:

A 60 min video call with one of our Talent Acquisition Managers, to better understand your career plan and answer any questions you may have A 60 min video call with your future manager, to be aligned on expectations on both sides and to talk about how you would work together A remote exercise to evaluate your skills and give you a taste of what working Qonto could be like Video calls or onsite interviews with future team members (optional) to help you understand what working at Qonto is like A final video call or onsite interview with the manager of your future Department
Check this article to learn more about the hiring process and we will send you an interview guide so you can best prepare yourself. On average our process lasts 20 working days and offers usually follow within 48 hours
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Data Scientist/Analytics - Remote Friendly
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