Staff Data Analyst - remote friendly

Contenu de l'offre Staff Data Analyst - remote friendly chez Qonto

Staff Data Analyst - remote friendly




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, so if you’re looking for an ambitious team that’s revolutionizing an old-fashioned industry, get in touch!

Our journey: Alexandre and Steve launched Qonto in July 2017. Since then, the team has earned the trust of more than 400,000 customers and opened offices in Paris, Berlin, Milan, and Barcelona. Last summer, we joined forces with Penta, a market leader based in Berlin and Belgrade, forming a united team of 1,300 Qontoers. We also made it to the LinkedIn Top Companies French ranking!
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.
You can find out more about the Qonto Wayhere.

Our beliefs: Our goal at Qonto is to create a warm and welcoming environment where individuals from all walks of life can truly thrive. We've gone above and beyond to ensure that every applicant is evaluated solely based on their skills and potential, rather than their gender, ethnicity, age, (dis)ability, or any other irrelevant factor. Our team consists of 49% international individuals, with 44% women and 20% parents. With this diversity, we are a powerful force! Join us in our mission to build a workplace that celebrates diversity and embraces individuality. Discover the steps we took to create a discrimination-free hiring process.

Our career track: At Qonto, we cherish your unique skills, breaking away from conventional labels like "senior" or "director," and instead, offering personalized career tracks and expertise levels from 1 to 9 that truly celebrate your impact!
To achieve Qonto’s mission and our ambitious goals we created the Data team, responsible for overseeing Data Analytics, Engineering, and Science. In just two years, our data department has grown from 5 to 60 people, and we continue expanding!
At Qonto, Data Analytics is essential and central to our business. You will join a team of talented data analysts, that provides key insights used to make strategic decisions across the company.
The BI Team is organized into four teams working in distinct areas, that regularly work together on cross-functional topics.

 Your Mission: As a Staff Data Analyst, you’ll bring an analytical mindset and passion for using data as the main driver of product innovation and business growth. 

 Impact: You strategic analysis and recommendations will have an impact across different domains. You'll drive improvements within the team best practice, mentor your colleagues with the goal to become the go-to person for analytics.

ð‍ð»ð§‍ð»As a Staff Data Analyst at Qonto, you will :

You will work directly with business & product teams playing a key role in orienting features development while setting best practices across the Data team.
• Perform deep strategic and ad-hoc analysis across multiple domains to answer core questions such as: What is the best approach to pricing? How can we improve the usage of a certain feature?
• Provide recommendations to teams across the business on how we can evolve our internal strategy and address shortcomings observed through deep analysis.
• Leading opportunity sizing and analysis. What is the best default billing option to increase conversion? Should we reach out to clients who have insufficient funds to cover their monthly fees? Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve our decision velocity and quality using statistical analysis: experimentation, causal inference techniques, etc. Design measurement plans, advise on best practices, identify flaws in experiment practices and results; build tools for causal analysis; collaborative design of new frameworks, counterfactual logging, etc.
•Creating, tracking, and breaking down success metrics into actionable segments. Identify the right measures of success for our teams and help them track those metrics. You may go from creating new datasets to building dashboards that track components of a metric.
• Lead and mentor the scope of work for data analysts in the same area, demonstrating high-quality output of both yourself and others. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging training opportunities to improve performance.
• Set up best practices and advocate for the team’s work to meet internal standards for code style, quality, maintainability, and best practices
ð§ Example of your future projects
• The onboarding team wants to understand this drop in activation they have observed for the last three weeks. They need your help: how to distinguish the signal from the noise? Because fluctuations always occur…
• The Product Manager of Cards wants to understand the success of this new “top-up” feature that the team recently delivered. You lead a cross-team effort to set up and track the success of this feature.
• We have recently released a new pricing structure. The Finance team wants you to assess what default billing option (annual or monthly) would generate more revenue and increase engagement.
• The strategy team needs to understand what are the levers that increase customer retention. Does data bring relevant insights into this question?
• You mentor a great Data Analyst who joined recently while providing a workshop on Causal Inference to the wider Data team, you help us grow quickly and maximize our impact.
• You create a Python library to automate the analysis of experiments, later you train the teams in their usage and limitations.
ð What you can expect
• Work in a fast-paced multicultural environment with a focus on shipping quality, fast.
• Yes, we go fast, but we have a strong focus on quality: you work on one project at a time with a problem-solving mindset. We avoid rework.
• Have ownership & impact: you are autonomously in charge of your own projects across domains passing through all stages.
• Be a leader: you will work with domain senior stakeholders to identify areas of opportunity
• Set it up the right way: creating and spreading best practices across Data while mentoring our high-growth talent


Knowledge sharing: across the whole tech team (internal & external talks, weekly meetings, tech monthly) and the community (articles and meetups).
• A modern data stack: We mainly use Snowflake as a warehouse, Airflow and DBT as ELT, and Tableau and Metabase for our data visualization.
ð About your future Manager
Our Head of Business Intelligence at Qonto is David. With a background in the different crafts of data, he collaboratively shapes the Data Analytics and Business Intelligence vision alongside Omar and Alice.
• His background:

Before joining Qonto in April 2023, David was a Senior Data Leader in product-driven scale-up and finance companies like Glovo and Barclays.
• What can he bring to you and the team?

David brings extensive experience in team management, and he is enthusiastic about making the data teams shine at Qonto. You will join a team that prioritizes high-impact and quality-driven solutions and analysis. The different data teams collaborate closely and work hard to solve complex questions in different parts of the business.
ðAbout You
• You are passionate about transformingdata into value

• You have no fear of learning new tools if they serve your goal. You probably already know Python and several data-related libraries.
• You have a strong statistical background: some of your friends are still amazed by this spurious correlation between ice cream sales and swimming pools accidents. You are not. You would just be chasing the underlying latent variable
• You have a special taste for mentoring and coaching

• Other traits and skills we are looking for include accountability, energy, hands-on (when needed), being fast, and framing problems/situations in a sharp way

At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along. 


ð Perks
A laptop. An inclusive work environment. A tailor-made career track. And so much more to help you succeed.
- A central fully-renovated building in Paris with WeWork services
- Monthly team events
- Tailor-made remote work policy depending on the job you apply for
- 25 days of paid leave + 5 Qonto days or 25 days of paid leave + 10 RTT +/-
- Alan health insurance, Moka Care to take care of your mental health, and Gymlib for sports and wellness activities
- A Swile lunch card: 50% covered
- 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
ðª Our hiring process:

- Interviews with your Talent Acquisition Manager and future managers

- A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like
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 ð
Thank you for considering joining Qonto. We cannot wait to learn more about you!

One last thing. We recently raised 486M in our Series D to ensure we keep growing safely, despite the current economic environment looking a bit gloomy. We revealed our plans for the future here.

To learn more about us:

Qonto's Blog | Les Échos I Challenges | Forbes

To know how your personal data will be processed during your application process or to request its deletion, please click here.

Paris /
Tech & Data – Data Analysis /
Full-time
/ Hybrid