ФранцияBusiness Analyst Intern, Trade-In
1 мес. назад
1200–1400 EUR / мес.ФранцияTraineeOnsite
data visualizationdata modeling
Internship position supporting strategic analysis and daily operations within the Trade-In team, focusing on data extraction, modeling, visualization, and process improvements.
О компании
- Starting date: January 2027
- Duration: 6 months
- Schedule: Full-time (35H/week)
- Location: Paris, France
- Contract: internship agreement provided by your French school is required
Обязанности
- 80% - Business & Data Analysis Support the team with data extraction, manipulation, analysis, modeling, and visualization needs.
- Help maintain, update, and improve circularity performance and operations tools, including reports, trackers, dashboards, alerting processes, and operational processes based on automated queries.
- Assist the team in monitoring and analyzing circularity services performance based on key performance indicators on a daily, weekly, and monthly basis.
- Contribute to challenging KPIs and tools, and propose ideas to improve the efficiency and accuracy of tracking and analysis.
- Participate in root cause analyses to better understand performance drivers and identify potential levers for sustainable improvement.
- Support ad hoc analyses to explore and size opportunities to grow the business and/or increase profitability. Assist the team in modeling and sizing project impact, and help ensure projects and processes are supported by clean, reliable data.
- Help maintain and update documentation about circularity data, including access to key databases, key queries, methodologies, important analyses, as well as onboarding and training materials.
- 20% - Operations & Automation Support the team with daily operational processes, such as alerts and incidents related to shipping, pricing, risks, and other topics, while helping identify opportunities to improve and automate them.
- Contribute to automation initiatives leveraging AI, such as reporting, analysis, and task automation.
Как откликнуться
- Skills and cultural fit interview with the Hiring Manager
- Video-call interview with the Talent Acquisition Specialist
- Live business case interview with a team member
Другое
- We’re here to help make tech reliable, affordable, and better than new . We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new.
- Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on , our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have.
- Are you ready to join us?
- is on a mission to make refurbished tech the new norm. Within the Trade-In team, data is a key lever to improve circularity performance, operational excellence, and business growth. From pricing and customer lifecycle to customer satisfaction and automation, the team uses data to monitor performance, identify opportunities, and drive high-impact decisions across the business.
- As a Business Analyst Intern in the Trade-In team, you will support both strategic analysis and day-to-day operations. You will work on extracting, modeling, and visualizing data, improving tools and dashboards, and helping the team better understand performance drivers. This is a hands-on internship with strong exposure to business topics, operational processes, and automation initiatives, ideal for someone who wants to combine analytics with real business impact.
- You are currently pursuing a Master’s degree in Business, Management, Engineering, or an equivalent field, with a specialization in data and analytics based in Barcelona and your school can provide an internship agreement
- You have strong skills in data extraction, manipulation, analysis, modeling, and visualization
- You are comfortable using SQL, Google Sheets, Tableau, or similar data visualization tools
- You have strong mathematical skills and are able to build complex models
- You can communicate clearly and make technical work accessible to non-technical audiences
- You are autonomous and able to manage multiple tasks and projects at the same time
- You enjoy hands-on problem solving and are not afraid to dive into operational topics
- Team spirit is essential for you, and you are someone people enjoy working with
- You are 100% comfortable in spoken and written English, as this is required for the role
- Bonus points if you have experience with process automation tools such as Workato or AI agent creation
- Bonus points if you already have advanced SQL and Tableau experience in a business environment
- Bonus points if you have worked with Google Analytics, Data Studio, or Amplitude
- Bonus points if you speak additional languages such as French, German, Spanish, or Italian
- You are willing to learn and grow in a fast-paced environment
- At , we’re committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives — it’s one of the reasons we’re such a high-scoring certified B Corp company (93.2).
- No matter your role and seniority level, you’ll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment — with benefits to match, like:
- - A mission driven work environment where your day to day makes an impact on the planet. Seriously.
- - Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days.
- - Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training.
- At , we strive to create a workplace that embodies the world we’re trying to change. We’ve embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values.
- We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications.
- If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.