Data & Analytics

Lead analytics strategy and reporting architecture for a marketing organization, translating complex data into executive narratives and insights that drive business decisions. Build dashboards, lead operating reviews, and synthesize data into strategic stories rather than writing code.

Own the growth analytics function by building marketing data models, maintaining the marketing tech stack, and generating business intelligence insights that drive sales and marketing strategy across Europe.

Own pricing strategy and yield optimization for a European train service by developing and steering algorithms, testing market approaches, and building dynamic pricing systems that balance customer behavior with business outcomes.

Build data pipelines and analytical insights for Wolt's merchant platform, translating marketplace data into actionable recommendations that help merchants succeed. Work at the intersection of analytics, product strategy, and merchant success.

Own statistical modeling, research methodology, and data-driven decision frameworks across product and clinical workflows. Set evaluation standards and research roadmaps that shape company strategy rather than executing individual analyses or reports.

Drive data-driven product strategy by building analytics infrastructure, creating dashboards, and surfacing insights to inform decisions across product, engineering, and go-to-market teams. Partner with cross-functional stakeholders to translate data into actionable business recommendations.

Deep-dive analysis of user behavior and data integrity on a large e-commerce platform, investigating patterns in community activity and product data to identify insights and anomalies. Primarily involves SQL, analytics tools, and data visualization rather than software development.

Analyze e-commerce funnel data to identify conversion bottlenecks and drive optimization initiatives through A/B testing, working cross-functionally with marketing, design, and development teams to improve shop performance and revenue.

Day-to-day involves managing and optimizing Meta and Google Ads campaigns across multiple brands, running weekly A/B tests, analyzing performance data in GA4 and Shopify, and making rapid scaling decisions based on metrics like CAC.

Run and optimize Meta advertising campaigns using AI tools for copywriting, creative analysis, and process automation. Build marketing funnels, manage client relationships, and make data-driven optimization decisions with minimal coding required.

A revenue management role focused on analyzing hotel market data, developing pricing strategies, and implementing yield optimization across a portfolio of hotels. Day-to-day involves data analysis, strategy development, cross-functional collaboration with hotel teams, and performance monitoring.

Data validation and quality assurance specialist for fixed income financial instruments, involving structured analysis of datasets, reconciliation of pricing/reference data, and investigation of data inconsistencies to maintain index integrity.

Transform unstructured legal documents and data sources into clean, structured datasets and knowledge models that power an AI legal assistant. Work on data pipelines, ETL processes, and knowledge graph construction rather than traditional software engineering.

Transform raw voter, district, and product data into clean, modeled datasets that power dashboards and data pipelines. This role focuses on data architecture, modeling, and pipeline development rather than application coding.

Work with sales teams and leadership to analyze merchant selection data, identify high-potential candidates, and develop metrics that drive strategic business decisions. This is a data-focused role that leverages analytical skills to influence company strategy rather than build features.

Manage and optimize programmatic advertising campaigns across DSPs and ad servers, focusing on performance analysis, data interpretation, and process automation rather than software development.

Day-to-day involves managing and optimizing digital advertising campaigns across native platforms (Outbrain, Taboola, etc.), making data-driven decisions on creative strategy, budget allocation, and performance testing to maximize ROI and conversions.

A mid-level business analyst role at a fintech company focused on payments infrastructure, likely involving data analysis, business metrics, process improvement, and cross-functional collaboration with product and engineering teams to support decision-making.

Build and maintain financial reporting dashboards and analytics systems (Power BI, etc.) while analyzing logistics costs, margins, and cash flows to support business decision-making. Involves data visualization, SQL/ETL work, and process automation rather than traditional software development.

Set up and optimize paid advertising campaigns across Meta, Google, and TikTok for multiple brands, building tracking systems and attribution models to measure performance across a portfolio.