Senior Data Analyst

Penta; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading financial services platform in Paris seeks a Data Analyst to support business decisions for SMEs. The successful candidate will deliver end-to-end analytics projects, build dashboards, and become a trusted data partner for stakeholders. Proficiency in SQL and experience with tools like Power BI or Tableau are essential. Join a diverse team dedicated to fostering an inclusive work environment with competitive perks and career growth opportunities.

Prestations

Tailor-made career track

Inclusive work environment

Offices in multiple cities

Competitive salary package

Meal vouchers

Public transportation reimbursement

Health insurance

Well-being initiatives

Childcare benefits

Monthly team events

Qualifications

• Proficiency in SQL for data extraction, transformation, and analysis.
• Experience in building dashboards using BI tools.
• Ability to manage multiple stakeholders in fast-paced environments.

Responsabilités

• Deliver end-to-end analytics projects with stakeholders.
• Build and maintain dashboards for decision support.
• Ensure adoption and effectiveness of analyses and dashboards.

Connaissances

SQL proficiency

BI experience

Stakeholder management

Ownership mindset

Project delivery and communication

Outils

Power BI

Tableau

Looker

Description du poste

Our mission

Our mission ? Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe’s leading finance workspace. We combine business‑class tools (seamless invoicing, spend management, and pre‑accounting) with unwaveringly attentive 24 / 7 support, designed to help businesses breeze through all things finance.

Company overview

Our journey : Founded by and in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the French ranking!

Our values : Customer focus | Prioritize customers in everything you do Ownership | Own your part, get things done Teamwork | Make (team)work easy Mastery | Continuously raise the bar Integrity | Always do what’s right, and respect people

Our beliefs : At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 55% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.

Job Overview

Join us as a Data Analyst and help Qonto's teams make data‑informed decisions as we scale to serve one million SMEs by 2025. Depending on your profile and preferences, you will join either our Business Analytics team (supporting Finance, Strategy, Customer Care, and Operations) or our Product Analytics team (supporting Product Managers and Product teams across our product portfolio). You will work closely with experienced managers—Alma, Senior Manager Business Analytics, and Ida, Senior Manager Product Analytics—both reporting to Daniele, Head of Data. They will support you in delivering impactful analytics work and growing your career within a large, structured team.

Responsibilities

• Deliver end-to-end analytics projects: scope requests with stakeholders (Product, Finance, Operations, Strategy), build dashboards, run analyses and experiments, and conduct discovery work to inform business decisions.
• Own the data needs for one or more business areas or product domains, becoming a trusted data partner for your stakeholders.
• Build and maintain dashboards following best‑in‑class practices, including contributing to our ongoing BI consolidation effort to reduce dashboard sprawl and improve data discoverability.
• Ensure adoption of your work: make sure your analyses and dashboards are understood, used, and lead to concrete actions by your stakeholders.
• Contribute to enabling self‑service analytics by creating clear data models and documentation that help stakeholders answer their own questions.
• What you can expect: Two possible paths :

Career Path – Business Analytics

You will support Corporate and Operations teams (Finance, Strategy, Customer Care, Operations). The work is currently 70% BI (building and maintaining dashboards) and 30% ad‑hoc analysis. You will help business leaders understand performance, identify opportunities, and make strategic decisions.

Career Path – Product Analytics

You will support Product stakeholders (Product Managers, Designers, Heads of Product). The team is in a consolidation phase, spending 50‑60% of time on BI work and moving toward more strategic analysis work (A/B testing, discovery, impact measurement). You will help product teams understand user behavior and validate product decisions.

How we work

We follow the Qonto Way methodology, which emphasizes one‑piece flow, value analysis, and value engineering. You will work in close partnership with your stakeholders, attending team meetings and building trusted relationships. We value ownership: success means not just publishing a dashboard, but ensuring it drives business value.

Current focus

Both teams are working on improving data discoverability and self‑service capabilities, consolidating dashboards to reduce sprawl, and building scalable analytics solutions that drive measurable business impact.

About your future manager

Alma manages the Corporate & Ops Business Analytics team and brings strong expertise in supporting corporate functions with data. She values pragmatic problem‑solving, clear communication, and helping her team members develop both technical and stakeholder‑management skills.

Ida manages the Product Analytics team and brings deep expertise in building analytics capabilities in fast‑growing tech companies. She is passionate about enabling product teams through data and focuses on helping her team members grow their impact and autonomy. Both managers report to Daniele, Head of Data, who oversees the entire Analytics function and ensures alignment across teams. During the interview process, we will discuss which team is the best fit based on your interests and experience.

About you

• SQL proficiency: You are comfortable writing complex SQL queries to extract, transform, and analyze data. You have worked with large datasets and can navigate modern data warehouses.
• BI experience: You have built dashboards in tools like Power BI, Tableau, or Looker. You understand data visualization best practices and can turn data into clear, actionable insights for business users.
• Stakeholder management: You have worked with multiple stakeholders in a fast‑paced environment, managed competing priorities, and delivered work on time. You communicate proactively and know how to build trust through consistent delivery.
• Ownership mindset: You don't settle for “dashboard published” or “analysis delivered.” You follow up with stakeholders to ensure your work is adopted and drives decisions, and you iterate based on their feedback.
• Project delivery and communication: You can break down projects into clear steps, manage your timelines, and communicate progress regularly. When you face blockers, you flag them early and propose solutions.

Perks

• A tailor‑made and dynamic career track.
• An inclusive work environment.
• Offices in Paris, Berlin, Milan, Barcelona, and Belgrade.
• Competitive salary package.
• Meal vouchers.
• Public transportation reimbursement (part or global).
• A great health insurance (depending on the country).
• Employee well‑being initiatives: access to take care of your mental health and great offers for sports and wellness activities.
• A progressive disability and childcare benefits with selected partners.
• Monthly team events.

Hiring process

• Interviews with your Talent Acquisition Manager and future managers.
• A remote or live exercise to demonstrate your skills and give you a taste of what working at Qonto could be like.
• The process lasts about 20 working days and offers usually follow within 48 hours.

To learn more about us.

To know how your personal data will be processed during your application process or to request its deletion, please. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.