Data & Analytics

Define and maintain a centralized, trusted layer of core business metrics across the company by working with stakeholders to establish consistent definitions, validate data using SQL, and ensure all teams reference the same numbers for decision-making.

Senior Decision Scientist role focused on building data-driven models and insights to improve trust and safety on the Vinted marketplace. Involves analyzing fraud patterns, user behavior, and developing decision frameworks rather than software engineering.

Collect, clean, and analyze healthcare data from Doctolib's platform using SQL and BI tools to measure product impact on French healthcare systems, then communicate findings through dashboards and presentations.

Sales Operations Specialist role focused on building and maintaining Salesforce pipelines, creating dashboards and reports, and providing commercial teams with data-driven insights on sales performance and process optimization.

Operations and strategy analyst role focused on building dashboards, analyzing sales/customer care performance data, and creating actionable insights for leadership. Involves data manipulation, forecasting model development, and cross-functional collaboration rather than software engineering.

Student role focused on developing data dashboards, automating reporting processes, and implementing digitalization solutions (Power BI, AI tools, Power Platform) for energy asset management. Work involves cross-functional collaboration with domain experts rather than standalone coding.

Lead analytics strategy and data insights for a media/advertising platform, translating complex data into business value and strategy recommendations rather than writing code. Focus on data platform governance, client analytics delivery, and bridging technical capabilities with marketing outcomes.

Build data-driven marketing intelligence systems by analyzing CRM data, content performance, and funnel metrics to identify growth patterns and inform strategic marketing decisions. Balance analytical work with strategic thinking to help the company understand what actually drives customer acquisition and lifetime value.

Lead a team of analysts and data scientists building forecasting models and analytical tools for energy market trading. Focus on developing price/generation models, assessing market trends quantitatively, and delivering data-driven insights rather than writing production code.

A data science internship focused on marketing effectiveness and business impact, where you'll apply statistical analysis and data modeling to help clients optimize marketing decisions and measure ROI rather than building software products.

Data Analyst role at an AI hardware company, helping business teams derive insights and drive decisions through data analysis, reporting, and potentially business intelligence tooling. Leverages analytical and problem-solving skills from software engineering without requiring production code writing.

Analyze player behavior and gaming data to generate actionable insights for live operations, monetization, gamification, and retention strategies. Translate complex datasets into business recommendations across multiple product areas.

Lead a commercial data analytics team as a business partner to Sales, Marketing, and Customer Experience teams. Define high-impact data problems, translate business needs into analytics solutions, and own team delivery quality and business relevance.

Lead the analytics strategy for Last Mile logistics operations, translating advanced AI/ML capabilities into business value by working cross-functionally with operations, delivery, and fleet teams to drive adoption and operational improvements.

Turn business data into actionable insights using SQL, BigQuery, and Tableau to answer commercial questions and build dashboards that inform marketing, product, and commercial strategy decisions across the organization.

Turn business questions into data insights, models, and reports by bridging data, product, and business teams. Work primarily with analytics, SQL, and BI tools rather than software development.

An apprenticeship role focused on developing data analytics, CRM systems, and customer insights capabilities. This involves working with business intelligence tools and marketing analytics platforms rather than core software development.

Analyze payment system performance and financial metrics across Back Market's global platform, build dashboards and automated reporting systems, and support payment product implementation. Day-to-day involves SQL queries, data visualization, process automation, and cross-functional collaboration with technical teams.

Transform HR data into actionable insights by building reports, dashboards, and KPIs that support compensation strategy and organizational decision-making. Work with HR systems (Workday) to ensure data consistency and explore AI-driven solutions for analytics automation.

Build and lead Vibe's product analytics function from the ground up, designing metrics frameworks, analyzing user behavior data, and translating insights into product decisions for a streaming TV advertising platform. Work cross-functionally with product, engineering, and marketing teams to measure campaign performance and business impact.