Analytics Engineer Intern (September 2026)

Outsight

Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data. Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction.   Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, Sophia-Antipolis (Nice) & Hong Kong. To support our global outreach, we also operate a commercial office in Spain.   You can find below an interesting link about who we are and what we do : Insights about Outsight   Our Passenger Flow Traffic Monitoring solution is trusted by the world’s leading airports and train stations across four continents, including the most renowned hubs celebrated for their operational excellence and exceptional passenger experience.  We also deploy our solutions in other markets such as Tourism, Retail and Sports.   Additionally, our Car Traffic Remote Monitoring product is trusted by several Tier 1 customers, including BMW.   Context   We are looking for an experienced frontend engineer to redefine how humans interact with live spatial tracking. This engineer will translate abstract real-time coordinates, semantic timelines, and conversational agent feedback into beautiful, accessible web applications.   Responsibilities   Develop responsive web experiences displaying intricate spatial layouts, streaming event lists, and multi-tenant telemetry dashboards. Build modular, real-time chatbot components and rich-text messaging UI components that expose backend AI agent steps transparently. Ensure rigid web application performance metrics, smooth rendering profiles under heavy live-data traffic, and clean state handling. Provide close technical mentorship and guidance to incoming Frontend Interns joining the team. Requirements for the role Agentic Workflow & Productivity Edge: Proven track record of designing generative UI experiences where components fluidly adapt based on structural payload returns from AI agents. Must showcase high productivity using modern terminal/IDE augmentations to prototype complex frontend views at exceptional speed.   Why join us?   Be part of the team pioneering Spatial Intelligence solutions at unprecedented scale—the breakthrough technology transforming how the world’s most prestigious airports, infrastructure operators, and smart cities understand and optimize physical flows.   As a 7-time Gartner-recognized category-defining leader with dozens of global awards including “Edge AI Product of the Year,” “LiDAR Leader Award,” “CES Best of Innovation” and many more, we’re backed by 37 patents and deployments with the most prestigious (and challenging) customers across four continents.   Join our international team of world-class experienced engineers and business leaders solving humanity’s most complex spatial challenges, from passenger flow optimization to autonomous robotics coordination, while working at the cutting edge of 3D AI, LiDAR perception, and real-time analytics.   Supported by rock-solid investors including BNP Paribas, BPI France, Energy Innovation Capital and Demeter who back our long-term vision, this is your opportunity to shape how physical and digital worlds interact, with the resources, growth trajectory, and technical challenges that will accelerate your career in ways traditional companies cannot offer.   Outsight is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Outsighters don't make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Outsight also strives for a healthy and safe workplace, and prohibits harassment of any kind. If you have a disability or special need that requires accommodation, please let us know.

Qonto

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ ➡️ Mission: Join us as Analytics Engineer – Data Governance and become the architect of Qonto's data trust layer as we make our transition to a fully licensed bank. You will own end-to-end the Data Governance framework — defining rules, implementing controls, monitoring quality, and driving remediation across the company — so that every compliance report is reliable and every business decision is grounded in trusted data. You will work closely with Alice Fresko, our Head of Analytics Engineer, and with Paul, our Staff Analytics Engineer, and sit at the intersection of Data, Product, Engineering, and Compliance. This is a first-of-its-kind role at Qonto: you won't inherit a mature process, you'll build it. ➡️ As an Analytics Engineer at Qonto, you will: Build and operate the Data Governance framework — establish data quality rules, standards, and controls across the company's critical datasets, with a clear focus on banking compliance requirements (audits, regulatory reporting) Implement and maintain data quality checks — design and ship dbt tests and source-level controls (e.g. postcode validity, age ranges, referential integrity) that catch issues before they reach compliance reports Own the monitoring & remediation loop — produce regular data quality reporting for data owners and stewards, run cadenced follow-up rituals with stakeholders, and ensure action plans are executed — without being annoying about it Drive adoption of Data Governance tooling — own Data governance tools as the source of truth for the data catalogue and quality controls; clarify ownership, build the operating model, and keep it alive Scale the program through AI and automation — actively reduce manual work by building/configuring automated checks, monitoring pipelines, follow-up workflows, and reporting logic; this role is highly automatable and we expect you to leverage that ➡️ What you can expect:  You're building from scratch — the framework is in its early stages. You won't be inheriting a playbook; you'll be writing it. That means high autonomy, high ownership, and a real "first-of-its-kind" trajectory Compliance is the bar — The outputs of your work will ensure Qonto is ready to transition from Payment institution to Credit Institution. The outputs of your work feed into regulatory reporting and audit reviews. Precision, rigor, and traceability aren't optional Broad stakeholder exposure — you’ll work daily with senior PMs, Backend, domain data owners at senior leadership level and Risk & Compliance teams.. Strong influence and communication skills matter as much as your technical chops AI is the multiplier — we use AI daily at Qonto (read our vision). We expect you to use it too — not just as a coding assistant, but to automate the repeatable parts of data governance: monitoring, alerts, follow-up chasing, test generation Growth potential — depending on company scale and automation maturity, this role can evolve to Staff-level scope and potentially lead a small team (+1 junior in ~2–3 years) ➡️ About your future manager: Your manager will be Alice Fresko, our Head of Analytics Engineer. Alice joined Qonto in 2021 and has grown from Data Analyst to Lead Analytics Engineer, playing a key role in shaping our data modeling practices and analytics engineering culture. She brings both technical depth and a strong vision for data foundations, and promotes a culture of knowledge sharing and high standards for data quality. Her leadership style is collaborative and direct. You can hear her talk about Analytics Engineering (in French) in this podcast. ➡️ About You Analytics Engineering expertise — you are strong in dbt and SQL (our core stack). You've shipped production-grade data models and tests, and you're comfortable owning pipelines end-to-end. Python for automation is a plus, not a requirement Stakeholder management — you know how to run rituals, follow up persistently without burning bridges, communicate across technical and non-technical audiences, and drive cross-functional programs with no direct authority Process and compliance mindset — you care about precision, documentation, and "what can go wrong" thinking. You're comfortable in environments where the output has regulatory consequences AI-native work style — you use AI tools in your daily work beyond just chatting: code generation, automation, agents. Ideally, you've built or configured a workflow or agent in the past few months Appetite for building — you're excited by ambiguity and blank pages. You want to be the person who shapes the answer, not the one who inherits it French speaker is a key requirement for this job  

Qonto

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Compliance Expert Data Analyst to build the analytics foundations that power Qonto's compliance execution. You'll own a brand-new scope — monitoring KYC/KYB funnels, remediation campaigns, and financial exposure — working cross-functionally with Product, Ops, Risk & Compliance, and Internal Control, under the guidance of Alma, our Lead Data Analyst. 👩‍💻🧑‍💻 As a Data Analyst at Qonto, you will Build compliance process monitoring from scratch: You'll build and own the data infrastructure that powers compliance monitoring at Qonto — from onboarding funnel analytics to remediation financial exposure — giving product, operations and compliance teams the self-service tools they need to make decisions without waiting on a data request. Model and transform data with dbt: With the collaboration of Analytics Engineer Team, you'll build end-to-end transformation pipelines from source to consumption layer, keeping metric definitions clean and trusted by non-technical stakeholders. Turn regulatory questions into self-service assets: You'll partner with Product, Ops, Risk & Compliance, and Internal Control to scope and ship analytical tools Own the KYC/KYB funnel analytics end-to-end: You'll deliver insights from CS initiation through KYB validation — refusal reasons, document gaps, lead-time distributions — so teams can act on friction fast. Track remediation campaigns and financial exposure: You'll measure MRR secured, at risk, or lost across active campaigns, with peak intensity in Q4 (budget season) and May–June (reforecast). 🤔 What you can expect A greenfield, strategically critical scope: Qonto is under close regulatory scrutiny — you'll build analytics foundations that matter company-wide, not just for your team. Senior, cross-functional exposure from day one: Product, Ops, Risk & Compliance, Internal Control — few DA roles give you this breadth of senior stakeholder access at this level. Real ownership in the Modern Data Stack: You'll build in Omni and dbt with a high degree of autonomy — no legacy to untangle, just foundations to create. A team where AI is a first-class tool: Unlimited access to AI tools (Claude, Cursor, and more) to evolve how you work, not just output more. ➡️ Your future manager Your manager will be Alma, our Lead Data Analyst for Ops & Finance. Alma knows exactly what it takes to build an analytics function that actually changes decisions, and she'll push you to do the same. Alma reports to Erwan, Director of Business Analytics who oversees the entire Analytics function and ensures alignment across teams. 🏅 About You Compliance or regulated environment experience: You've worked analytically on KYC/KYB, AML, remediation, or similar regulatory/operational processes — and you know how to get credible with those stakeholders fast. Self-service product mindset: You've designed dashboards and models for end-users to explore autonomously, adapting the same dataset from ops-level (daily SLA tracking) to exec-level (budget readouts). Cross-functional stakeholder management: You've juggled competing analytical priorities across multiple teams — and you know how to scope clearly, push back when needed, and drive adoption. Strong SQL and data modelling skills: You've built end-to-end transformation pipelines, enforced data quality, and made non-technical stakeholders trust your numbers. AI-native workflow: You actively use AI tools to accelerate your analytics work — from data modelling to stakeholder communication — and you're genuinely curious about going further. Language: Fluent in English. 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.