Data & Analytics

A working student role applying AI/ML techniques to agricultural business consulting, focusing on data analysis, prototype development, and research projects rather than production software engineering.

Financial planning and analysis role focused on budgeting, forecasting, reporting, and strategic decision support through data analysis. Day-to-day involves creating financial models, dashboards, variance analysis, and communicating insights to leadership.

Build data infrastructure and analytics systems for a commodities and energy trading firm, leveraging software engineering skills to support trading operations, risk management, and renewable energy optimization.

Own SEO and GEO (local search) strategy and execution for a pet insurance company across Germany and France, combining data analysis, content strategy, and marketing optimization with hands-on testing and tools management.

A user acquisition marketing role focused on managing and optimizing multiple UA channels through data analysis, campaign strategy, and cross-functional coordination to drive user growth for a fast-growing fintech/marketing platform.

Review and analyze high-volume transaction alerts to identify fraudulent and illicit activity, escalate complex cases, and provide feedback to product teams on detection rule improvements. Primarily involves pattern recognition, investigation, and process optimization rather than coding.

This role focuses on SEO strategy and growth metrics analysis rather than software development. Day-to-day work involves developing SEO strategies, analyzing performance data, optimizing content visibility, and driving user acquisition through data-informed tactics.

Build and maintain data models, pipelines, and warehouse schemas using dbt to transform raw data into reliable datasets that enable analytics and AI across the organization. Work cross-functionally to establish data quality standards and self-service dashboards for business teams.

Work on a data science competition/project focused on analyzing urban noise levels using timeseries data, computer vision, and geospatial optimization to identify patterns and predict noise reduction solutions.

Data science role focused on analyzing urban green spaces and public transportation patterns using timeseries analysis, computer vision, and geospatial optimization. Involves working with datasets to understand metropolitan mobility and environmental factors.

Operational product data role managing e-commerce product catalog entries, data quality validation, and process automation monitoring for an online grocery platform. Day-to-day involves product onboarding, quality control of automated systems, and identifying/resolving inventory and availability issues.

Senior marketing manager responsible for developing data-driven marketing strategies, managing paid media campaigns across platforms (Google, Meta, YouTube), and optimizing performance metrics (ROI, ROAS, KPIs) to drive business growth. Role involves heavy analytics, cross-functional collaboration, and campaign optimization based on performance data.

Day-to-day involves analyzing Meta ad campaign performance data, optimizing budget allocation, running A/B tests on audiences and creatives, and translating insights into recommendations for creative teams. Heavy focus on KPI tracking (MER, ROAS, CPA) and identifying scaling opportunities.

Work with battery engineers on physics-based modeling, data analysis, and cloud simulations for electric vehicles. This is a working student position that combines domain expertise (battery science) with data analysis and simulation work rather than traditional software development.

Build and maintain the SQL data models, dashboards, and reporting infrastructure that power business intelligence across the company. Focus on transforming raw data into reliable datasets and metrics rather than writing application code.

Day-to-day involves building and optimizing paid digital marketing campaigns across search, social, and programmatic channels, analyzing performance data, A/B testing creative and audiences, and managing campaign landing pages using no-code web tools.

Lead data science initiatives at an iPaaS platform company, likely involving model development, data pipeline architecture, and translating business problems into analytical solutions. Role combines technical depth with cross-functional collaboration.

Build and evaluate machine learning and LLM systems for mid-market clients, focusing on data preparation, model selection, and ensuring real-world reliability through rigorous data quality and evaluation practices.

Day-to-day involves setting up and optimizing paid advertising campaigns across Google Ads and Meta, analyzing performance metrics, running A/B tests, and building tracking dashboards using analytics tools like Google Analytics, GTM, and Looker Studio.

This student role involves managing and optimizing product listings across e-commerce marketplaces like Amazon and eBay, including keyword strategy, customer segment analysis, and trend implementation. Work involves data analysis, cross-functional collaboration with purchasing and marketing teams, and marketplace performance optimization.