Data & Analytics

Technical leadership role ensuring machine learning solutions meet high standards and scale reliably. Focuses on technical oversight, architecture, and delivery consistency rather than hands-on model development.

Analyze energy consumption data and build automated systems for multi-family residential buildings to optimize solar distribution and smart meter integration. Role bridges data science with energy infrastructure domain expertise.

Financial controller role focused on business analysis, reporting, and process optimization using SAP and Excel. Day-to-day involves creating financial reports, analyzing data, standardizing processes, and supporting automation initiatives across the organization.

Apply statistical analysis and machine learning techniques to electromagnetic environment data for national security applications. Work with domain specialists to translate complex technical problems into data-driven insights and models.

Manage seven-figure monthly advertising budgets across paid media platforms (Google Ads, Meta, TikTok, etc.), optimizing campaigns through data analysis, A/B testing, and cross-functional collaboration with creative teams to drive customer acquisition and profitability.

A finance operations controller role focused on data-driven decision making for production and operations. Day-to-day involves building performance dashboards, analyzing cost/margin drivers, identifying efficiency gaps, and partnering with production teams to improve profitability.

Manage and optimize Meta advertising campaigns for B2B clients, create performance reports and KPIs, analyze campaign data, and collaborate with clients on strategy improvements. Heavy focus on data interpretation and advertising platform management rather than coding.

Own financial planning and forecasting for marketing's top/mid funnel performance, analyzing spend efficiency across product-led and sales-led growth channels to support strategic investment decisions.

Analyze geopolitical and security developments across MENA region using open-source intelligence (OSINT), curated data sources, and AI tools to produce actionable reporting for government and corporate clients. Daily work involves monitoring news/social media, assessing political actors and risks, and translating findings into intelligence products.

Design and execute data-driven customer lifecycle strategies using email marketing automation, segmentation, and analytics to reduce churn and drive retention. Day-to-day involves developing customer journey maps, running experiments on messaging and timing, analyzing engagement metrics, and collaborating with product/marketing teams.

Working student role supporting a data analytics team by building and maintaining data pipelines, creating reports and data apps in KNIME, and answering ad-hoc business questions for internal stakeholders.

Credit analyst role focused on evaluating financial statements, creditworthiness, and risk assessment for lending decisions. Involves analyzing company financials, creating risk reports, and liaising with clients and external stakeholders.

A growth marketing internship focused on app store optimization, funnel analysis, market research, and web page maintenance. The role involves data analysis, A/B testing, and cross-functional collaboration rather than coding, with hands-on exposure to marketing analytics tools and AI.

Technical leadership role driving data platform strategy and analytics capabilities, combining hands-on technical work with people management and cross-functional collaboration to shape how the company leverages data.

Apply statistical analysis and machine learning techniques to improve DuckDuckGo's search ranking and relevancy. Work involves designing experiments, analyzing sparse privacy-preserving data, and developing signals for search quality—less about writing production code and more about data investigation and modeling.

Build and maintain data platform tooling, infrastructure, and processes that enable analytics teams to work more efficiently. This involves working across the full data stack—from ingestion to BI tools—focusing on observability, access control, and engineering standards rather than pure application development.

Build and maintain the data modeling infrastructure (dbt models, metrics, semantic layers) that powers analytics across product, GTM, finance, and operations teams. Involves SQL, data warehouse design, and analytics enablement rather than application development.

Principal-level data scientist role focused on AI model integration, prompt engineering, and scenario planning platform development. Likely involves balancing technical depth with cross-functional collaboration, data strategy, and customer-facing insights rather than pure software engineering.

Strategic management and optimization of Google Ads campaigns across European markets, with responsibility for budget allocation, bidding strategies, and performance analysis across search, Microsoft, and Meta platforms.

Create and optimize digital advertising campaigns across Meta, Google, and Amazon platforms, analyze performance metrics using spreadsheet tools, and develop weekly reports on ad creative performance.