Data & Analytics

Work-study position in a FinTech's risk management team, analyzing risk data, digitizing manual processes with workflows and AI, and creating executive reports and dashboards using Excel and data visualization tools.

Transform operational and financial data into business intelligence and actionable insights for executives and operators. Proactively monitor business performance across multiple dimensions and communicate findings to drive strategic decisions.

Use experimental design and causal inference to analyze marketplace economics, informing business decisions across Deliveroo's restaurant, rider, and consumer sides. Work with data to identify optimization opportunities and drive strategic recommendations rather than build production systems.

Financial data analyst role focused on building unified revenue/margin dashboards, automating reporting workflows, and analyzing commercial performance using tools like Anaplan. Bridges operational teams and finance through data structuring and insights rather than software development.

Lead analytics strategy and measurement for a financial products pillar, owning metrics, dashboards, and insights that drive product decisions rather than building systems. Day-to-day involves working with product teams to define KPIs, analyze performance data, and translate business questions into analytical insights.

A Senior Decision Scientist role focused on supply chain optimization, using data analysis, statistical modeling, and business intelligence to drive decisions around inventory, logistics, and operational efficiency rather than building software systems.

Work with product and engineering teams to analyze mobile e-commerce conversion funnels, define KPIs, design and measure A/B tests, and provide data-driven insights to optimize user experience across the app lifecycle.

This role combines financial control and data analysis for an international NGO, involving financial reporting, budget management, data consolidation across a global network, and process improvement—leveraging analytical skills without requiring software development.

Build and optimize automated marketing agents using Lovable's platform to manage paid advertising campaigns across Google, Meta, Microsoft, and emerging channels. Focus on creating systems that monitor performance, allocate budgets intelligently, and flag issues rather than manually executing campaigns.

Lead architect designing and modernizing a business data analytics platform, defining technical blueprints for data infrastructure and enabling cross-functional teams to access and interact with analytics data using AI-first approaches.

Own data integrity and quality assurance for a marketplace platform, working with data scientists to validate AI-generated insights, design A/B tests, and translate analytical findings into business strategy and action plans.

Lead data science and analytics initiatives for Vinted's customer support experience, translating user insights into product improvements and strategy. This role bridges technical data work with business impact and cross-functional collaboration rather than individual coding.

Build and maintain compliance analytics dashboards and monitoring systems for KYC/KYB processes, financial exposure tracking, and remediation campaigns. Work cross-functionally to translate compliance requirements into data insights and metrics.

Build and maintain analytics infrastructure, design data models, and enable data-driven decision making across Monzo's product and business teams. Work with SQL, analytics tools, and collaborate with engineers and product managers to surface insights.

Build and optimize financial reporting systems by connecting multiple data sources and tools, reducing manual spreadsheet work, and improving FP&A processes through better system integrations and data logic rather than traditional accounting.

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.

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.

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.