Data & Analytics

Build and own CRM analytics infrastructure from scratch, designing attribution logic, running incrementality tests, and using data to drive retention strategy and budget allocation decisions for an e-commerce brand. Day-to-day involves cohort analysis, CLV modeling, A/B testing design, and creating the single source of truth for retention metrics across markets.

Analyze user lifecycle data and behavioral patterns to inform product strategy and business decisions at a fast-growing fintech startup. Focus on metrics, cohort analysis, and data-driven insights rather than software development.

Analyze marketing and product performance metrics, build dashboards, and provide data-driven insights to guide Growth and Product team decisions, with focus on ROI and customer lifetime value optimization.

Transform e-commerce data into business insights by building dashboards, analyses, and automated reporting tools; collaborate with cross-functional teams to solve commercial problems and drive data-driven decision-making across website, app, and product performance.

Translate internal and external data sources into dashboards, analyses, and strategic insights that support executive decision-making and portfolio management. Responsibilities include data quality management, building analytical solutions, and communicating findings to leadership.

Use SQL, Excel, and analytics tools to build headcount forecasting models, track hiring metrics, and provide workforce planning insights to leadership. Partner with HR and business teams to translate data into strategic staffing recommendations.

An internship focused on optimizing automated industrial textile processing systems using data analysis, process improvement methodologies (DMAIC), and hands-on implementation. You'll analyze performance metrics, identify bottlenecks, and drive continuous improvement in manufacturing operations.

Build and communicate data-driven insights to guide product decisions by analyzing user behavior, defining KPIs, and partnering with product and engineering teams to measure impact and influence roadmap priorities.

Build and own marketing attribution models and incrementality testing frameworks (geo tests, conversion lift studies) to measure ROI across marketing channels. Work with data infrastructure and analytics tools to translate marketing spend into evidence-backed business decisions.

Lead a data science and analytics team to drive product strategy and go-to-market decisions for JetBrains' AI platform. Build data infrastructure, guide product direction through data insights, and partner with product/engineering leadership to optimize growth.

Analyze digital advertising campaign performance metrics, create business intelligence reports for major clients, and collaborate with product teams to optimize ad effectiveness and develop new reporting tools.

Build and refine supply planning models and tools to optimize courier allocation across Wolt's global operations. Day-to-day involves data analysis, modeling, cross-functional collaboration with operations teams, and working on systems that impact hundreds of cities.

Lead web analytics and marketing technology strategy for a renewable energy company, owning website tracking, user behavior analysis, and connecting customer journeys from initial visit through conversion. Blend technical implementation (tracking setup, tag management, data architecture) with analytical work to optimize marketing performance and user experience.

Design and maintain HR technology systems and build analytics dashboards that help leadership understand hiring, retention, and compensation patterns. Lead a small team while partnering across business functions to turn people data into actionable insights.

Lead analytics strategy and portfolio intelligence initiatives across multiple business units, translating business needs into KPI frameworks and reporting systems. Focus on stakeholder communication, technical direction-setting, and business insight generation rather than hands-on analytics coding.

Investigate user behavior and product metrics through deep data analysis to inform product and business decisions. Work hands-on with data to answer high-stakes questions about customer journeys, partnering with product and engineering teams to drive strategy.

Build a business intelligence platform from scratch using Microsoft Fabric and Power BI, connecting SAP data sources, creating data models, and developing reports for business teams. This is a ground-floor opportunity to establish BI practices in an organization with IT leadership support.

Managing customer experience by maintaining a knowledge database, evaluating AI assistant responses, analyzing support metrics (tickets, CSAT, NPS), and identifying patterns to improve customer retention and first-contact resolution rates.

Analyze marketplace health metrics, user behavior patterns, and platform sustainability for an AI data infrastructure company. Focus on data-driven insights to optimize participant experience and marketplace operations rather than building systems.

Build and enhance data reporting dashboards in AWS QuickSight, establish data governance practices, and enable business teams to self-serve analytics rather than depending on a central team.