
Bigblue · Paris
🎯 Why This Role Exists We’re hiring a Warehouse Data Intern to strengthen how Fulfillment teams access, understand, and use operational data. Over the next 6 ...
🎯 Why This Role Exists
We’re hiring a Warehouse Data Intern to strengthen how Fulfillment teams access, understand, and use operational data. Over the next 6 months, this person will improve monitoring and KPI tracking so teams and partners can make faster, better decisions.
🏢 About Bigblue
About Bigblue
At Bigblue, we’re building the logistics backbone for the next generation of commerce.
Modern brands sell everywhere: through their own online stores, marketplaces, retail, social commerce, and more. Across every channel, customers expect the same fast, reliable, and transparent experience after they buy. What used to be Amazon’s exclusive advantage is now becoming the standard for every ambitious brand. We're helping them get there.
Since 2018, we've built a tech-driven fulfillment platform used by 600+ brands, including Muji, Aigle, Scuffers, and Cabaïa. With 200+ Bigbluers across the UK, France, Spain, and Germany, our proprietary tech stack, and a network of 9 warehouses and over 100,000 sqm of fulfillment space across Europe, we ship millions of orders every month. And we’re nowhere near done!
Backed by €20M+ in funding, we’re expanding across Europe and building the operating system that will power modern commerce operations at a global scale.
At Bigblue, we hold ourselves to a very high bar: in the quality of our product, the rigor of our operations, and the care we bring to every merchant we work with. You'll be working alongside talented people on real, high-impact problems, in an environment where high standards come with genuine support, ownership, and room to grow. If you want your work to matter from day one, you’re in the right place.
🔍 The Role (Mission + Impact)
As Warehouse Data Intern, you will improve how we measure and monitor warehouse operations through reliable dashboards and actionable KPIs. You will work closely with Warehouse, Fulfillment Excellence, and Product to translate operational needs into metrics, reporting, and tooling improvements. You will report to an Analytics Engineer. Success will be measured by dashboard reliability and adoption, and the clarity and usefulness of KPI definitions.
📋 What You’ll Do (Responsibilities)
Improve and maintain warehouse monitoring dashboards to give internal teams and partners clear, near real-time visibility.
Define and implement operational KPIs aligned with business objectives.
Write efficient SQL queries on large datasets to produce accurate metrics and analyses.
Turn onsite observations into actionable insights and communicate them clearly to operational stakeholders.
📈 What Success Looks Like (30/90 Days)
📌 30 Days
Learn the warehouse operating model, current dashboards, and KPI definitions.
Ship a first round of dashboard improvements that removes obvious pain points for Ops and partners.
Draft a KPI catalogue with definitions and the underlying data sources.
📌 90 Days
Align on the KPI catalogue, including definitions, ownership, and data sources.
Already delivered dashboard improvements are adopted by Ops Team.
📍 Paris | Full-time | Fluent 🇫🇷 & 🇬🇧 At Bigblue, we're building the logistics backbone for the next generation of commerce. Modern brands sell everywhere: through their own online stores, marketplaces, retail, social commerce, and more. Across every channel, customers expect the same fast, reliable, and transparent experience after they buy. What used to be Amazon's exclusive advantage is now becoming the standard for every ambitious brand. We're helping them get there. Since 2018, we've built a tech-driven fulfilment platform used by 600+ brands, including Muji, Aigle, Scuffers, and Cabaïa. With 200+ Bigbluers across the UK, France, Spain, and Germany, our proprietary tech stack, and a network of 9 warehouses and over 100,000 sqm of fulfilment space across Europe, we ship millions of orders every month. And we're nowhere near done! Backed by €20M+ in funding, we're expanding across Europe and building the operating system that will power modern commerce operations at a global scale. At Bigblue, we hold ourselves to a very high bar: in the quality of our product, the rigour of our operations, and the care we bring to every merchant we work with. You'll be working alongside talented people on real, high-impact problems, in an environment where high standards come with genuine support, ownership, and room to grow. If you want your work to matter from day one, you're in the right place. The role: Head of Fulfillment At Bigblue, fulfillment is where our promise to brands meets their customers. As Head of Fulfillment, you will lead the strategy, execution, and continuous improvement of our European warehouse network — ensuring that we operate faster, smarter, and at the right cost. You will own the performance of our 3PL network, drive cost optimization, and champion innovation across our warehouse operations. From ensuring SLA delivery to exploring automation and robotics, your mission is to help Bigblue scale with operational excellence — without compromise on quality or customer experience. This is a key leadership role, reporting directly to the CEO, with strong exposure to the leadership team and customers. What you’ll do 🚀 Lead Bigblue’s European fulfillment network: oversee the performance of our 3PL partners and warehouse operations across France, Spain, Germany and the UK. 📊 Own operational KPIs: define, track, and improve key metrics — from on-time shipping to inventory accuracy, throughput, and cost efficiency. 💸 Be obsessed with cost management: Design and implement initiatives to reduce fulfillment costs per order while maintaining or improving quality. Drive a culture of cost discipline across the fulfillment function. 🧑🤝🧑 Build and lead the fulfillment team: manage and grow a team of 20+ Warehouse Managers and Warehouse Specialists. 🤝 Be the voice of operations internally and externally: collaborate closely with Customer Success, Product, and Sales to ensure operations fuel growth. Represent Bigblue on operational topics with key merchants. 🛠️ Drive process improvement and standardization: deploy best practices across warehouses. Identify bottlenecks and lead continuous improvement initiatives to increase throughput and accuracy. 🤖 Champion innovation and automation: contribute to the development our our in-house WMS. Explore opportunities to automate or robotize key fulfillment processes. Build the roadmap for a future-ready warehouse network — in close partnership with our Product & Tech teams. 🌍 Support capacity planning and network design: anticipate growth needs, optimize warehouse footprint, and lead decisions on new sites or capacity extensions.
ABOUT CREXI Crexi is reimagining commercial real estate with an AI-powered platform built to deliver smarter, more efficient solutions at every stage of the deal lifecycle. From real-time data and market insights generated by Crexi Intelligence, to targeted property marketing and seamless deal management through Crexi PRO, and a transparent, time-bound bidding experience with Crexi Auction— Crexi enables users to evaluate opportunities, maximize exposure, and close with speed and confidence. To date, Crexi has facilitated over $1 trillion in transactions, 8.6 billion square feet leased, and supports a growing community of more than 2 million monthly active users. Crexi’s mission is to catalyze the next generation of commercial real estate through three core pillars: Access, Innovation, and Connection. Crexi’s platform democratizes CRE by providing unprecedented access to market insights and opportunities, accelerates CRE dealmaking with purpose-built technology that enhances speed and transparency; and empowers CRE professionals with a centralized platform designed for real-time collaboration and success. About This Role: The Analytics Engineer owns the data models, KPI definitions, and trusted datasets that power decisions across the company. This role sits on the Internal Data Products team and is responsible for translating business logic into well-tested, version-controlled dbt models in Snowflake. You will work closely with Product, Sales, Finance, and Marketing to define what we measure, how we measure it, and ensure the data is reliable enough for stakeholders to act on without asking questions. What You’ll Do * Defines and instruments company-level and product-level KPIs in partnership with Finance, Product, and Sales. * Owns and develops the core dbt models: builds, tests, and documents staging, intermediate, and mart models that serve as the single source of truth for business metrics. * Builds and maintains Sigma dashboards and self-service datasets that stakeholders use without analyst intervention. * Designs and manages ETL and Reverse ETL syncs (Fivetran) that push curated data into Salesforce, HubSpot, and Iterable. * Partners with Product and Engineering to instrument event tracking (Mixpanel), define behavioral metrics, and run multivariate tests that inform product decisions. * Contributes to entity resolution efforts: helps build canonical account and contact models in Snowflake that downstream systems reference. * Works cross-functionally with Sales, Marketing, Finance, and Customer Success to translate business questions into modeled, governed data. * Proactively identifies data quality issues, builds dbt tests and alerts, and improves pipeline reliability. * Builds and implements AI-powered workflows for internal data products, including automated reporting agents, LLM-driven data validation, and natural-language interfaces to warehouse data. * Ensures compliance with data privacy and security regulations and maintains ethical data handling practices. * Identifies opportunities to improve data-driven decision-making and proposes solutions Who You Are * Bachelor’s degree in an analytical field (e.g. Economics, Finance, Mathematics, Statistics, Computer Science). * 2–5 years of experience in analytics engineering, data engineering, or a data analyst role that included dbt and data modeling. * Strong SQL skills with experience writing complex queries in Snowflake or a comparable cloud data warehouse; hands-on experience with dbt (Core or Cloud), including writing models, tests, and documentation. * Experience with a BI tool such as Sigma, Looker, or Tableau, and familiarity with product analytics platforms (Mixpanel, Amplitude) and event-based data. Why Crexi? * Rapidly growing startup with a dynamic work environment * Flexible team structure with the ability to progress in career * Health, Dental, and Vision insurance * Collaborative culture and numerous team activities The California base pay range for this position is $123,000 to $160,000 per year with eligibility for generous commissions, equity, and healthcare insurance. The total compensation package offered to a successful candidate will depend on several factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the industry, job-related skills, job level, and geographic location. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state employer, and this salary range may not reflect positions that work in other states. Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
ABOUT FINMID finmid's mission is to enable software companies to reimagine how their business customers access capital. By productizing the complexity of financial services, finmid empowers companies to offer financial services where FinTech isn't the mission but enables the mission. ABOUT THE OPPORTUNITY We are looking for a Data Science Intern to join our Data team. This is an exciting opportunity for someone early in their career who is hungry to learn and build. You’ll work closely with the rest of the team to dive into data to generate insights and help build the systems that drive our business. Whether you’re coming from a technical background with a strong analytical foundation or a business background with hands-on data experience, what matters most is your drive, precision, and business curiosity. IN THIS ROLE, YOU WILL * Support the team in analyzing large data sets to uncover trends, patterns, and actionable insights * Write and optimize production SQL against our data warehouse to power analyses and model features * Contribute to the development, improvement, and monitoring of credit risk models used for underwriting and portfolio management * Build out our MLOps foundations across experiment tracking, pipelines, and internal tooling so that models ship and run reliably * Present findings and recommendations directly to the team and leadership to inform decisions WHAT YOU NEED TO BE SUCCESSFUL * A degree (or pursuing one) in a quantitative or business-related field * Proficiency in SQL and Python, experience with MLOps tools are a plus * Experience working in Data Science through internships, academic projects, or similar * Strong analytical thinking and attention to detail * Clear communication skills, with the ability to present complex data in a simple and actionable way * A proactive and hands-on approach with the ability to work independently * Motivation to learn and grow in a fast-paced, evolving environment Experience of working in startups or in credit risk underwriting is a plus BENEFITS * Flexible, distributed-first work culture (with a beautiful office in Berlin if you prefer in-person) * Access to WeWork offices worldwide * Regular team off-sites across the EU * 30 vacation days per year We're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. We welcome diverse perspectives and people who think out of the box and aren't afraid to challenge assumptions. Join us.