Data & Analytics

Build and own end-to-end machine learning solutions for user targeting and content personalization, working across the full data science lifecycle from problem definition through model deployment and evaluation.

Managing finance master data requests across global business systems, including triaging stakeholder requests, maintaining data governance, and training business users on data management processes and approvals.

A working student position focused on data pipeline development, dashboard creation, and AI tool integration for an e-commerce platform. Day-to-day work involves SQL queries, data cleaning, building forecasting models, and implementing data quality automation.

Design and maintain data pipelines and quality checks that ensure financial data integrity across Mollie's payment systems, working closely with engineering and finance teams to enable reconciliation and reporting.

Financial analyst internship role focused on consolidating subsidiary financial data, analyzing P&L and KPIs, and preparing reports for leadership. Day-to-day involves data collection, Excel work, and SQL/BI tool usage across an international luxury fashion company.

Join the Finance team to prepare monthly financial reports, create board presentations, and identify opportunities to automate finance processes using AI tools. This is a hands-on finance operations role with exposure to business metrics and process improvement.

This is a temporary financial consulting role focused on cash flow planning and liquidity analysis. Day-to-day work involves creating financial forecasts, analyzing transaction data from existing systems, identifying payment discrepancies, and reporting findings to management—primarily using Excel and existing business tools.

Lead a small data team translating business questions into trusted metrics and analytical models; spend significant time building semantic data models and agentic analytics systems yourself, plus mentoring one other analyst and communicating insights to executives.

Execute and optimize digital marketing campaigns across SEO, Google Ads, and paid social, using data analysis and marketing tools to drive traffic, leads, and revenue growth. Day-to-day involves keyword research, campaign performance monitoring, A/B testing, and converting analytics into strategy recommendations.

Manage and optimize Google Ads campaigns across multiple channels and international markets for an e-commerce brand, focusing on data analysis, performance testing, and cross-functional collaboration to drive revenue and profitability.

A Revenue Operations Analyst role focused on analyzing sales pipeline, revenue metrics, and operational efficiency—leveraging data skills to drive business decisions rather than building products. Requires SQL, analytics tools, and process optimization but no software development.

Building and maintaining data pipelines and analytical models that translate raw data into business insights for decision-making across multiple departments. Heavy focus on data quality, infrastructure, and enabling non-technical stakeholders to access reliable data products.

Lead paid search advertising strategy and budget allocation across Google Ads and Microsoft Advertising, using data analysis to optimize campaign performance and identify new paid acquisition channels like native advertising.

Transform raw experimental data from automated lab instruments into clean, structured datasets that power AI models and scientific decision-making. Work at the intersection of data engineering, biology, and AI to build data pipelines and quality systems for a biotech automation platform.

You'll investigate market patterns and build predictive models using statistics, machine learning, and programming to develop trading strategies. Day-to-day involves hypothesis testing, data analysis, model development, and collaborating with researchers to turn insights into live trading systems.

Controller role managing financial data, inventory reconciliation, and procurement analytics for a 40-person biotech startup. Involves translating business operations into financial insights and modernizing legacy Excel-based systems.

Financial controller managing P&L reporting, budget cycles, and month-end closings for a major production site. Combines operational accounting, financial analysis, and process improvement with cross-functional stakeholder management.

Develop machine learning algorithms and statistical models to analyze fiber-optic sensor data for detecting equipment failures in energy infrastructure. Work involves algorithm design, data pipeline development, and cross-functional collaboration with hardware and embedded teams.

Lead strategic insights and forecasting initiatives for an international biotech organization, likely involving data analysis, business intelligence, and predictive modeling to inform decision-making across the company's drug development pipeline.

A business analyst role focused on optimizing product offerings and pricing through data analysis, working with sales teams to manage inventory, contracts, and commercial operations for an e-commerce underwear category.