Data & Analytics

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.

Establish and lead the product analytics function by conducting deep-dive analyses of user behavior, designing and running A/B tests, and translating data into actionable product insights that inform roadmap decisions across product, engineering, and design teams.

Transform raw data into business insights and predictive models to drive user acquisition and monetization strategies for mobile games. Work closely with product and marketing teams to identify trends, build analytical frameworks, and guide strategic decision-making.

Transform raw gaming data into actionable business insights for game design and live operations decisions. Work cross-functionally with game studios to provide data-driven recommendations on features, economies, and player engagement strategies.

Analyze user segmentation performance and A/B test results to drive targeting strategy improvements, collaborating with product and engineering teams to provide data-backed recommendations for better user experiences.

Lead a data analytics function for B2B marketing, transforming multi-channel data into business insights and recommendations. Work with cross-functional teams on attribution modeling, lead scoring infrastructure, and ML-driven analysis to influence marketing investment and growth decisions.

Lead the design and implementation of business intelligence solutions and data visualization dashboards that translate complex data into actionable insights for business stakeholders across Sony Interactive Entertainment.

Design and govern HelloFresh's global customer compensation strategy by analyzing operational data, running behavioral experiments, and building the analytical framework that determines how the company recovers customer trust across all markets.

Design and execute growth experiments across the full customer funnel using data analysis, marketing automation, and AI tools. Own acquisition, activation, and engagement strategy for a B2B SaaS platform, working closely with product and sales teams to identify patterns and build scalable growth loops.

Analyze current planning software reporting capabilities through interviews and data investigation, then recommend improvements to dashboards and automated reports that help different teams make better decisions. This is a structured, analysis-heavy internship focused on process optimization rather than development.

Data-driven role analyzing member behavior patterns in a CRM system, translating insights into engagement strategies, and developing targeted outreach campaigns. Focuses on analytics, strategy, and business outcomes rather than software development.

Senior data analyst role working on client projects that blend technical implementation (SQL, reporting, data visualization) with business problem-solving across diverse industries. Day-to-day involves stakeholder communication, ad-hoc analysis requests, and delivering insights to executives rather than building software products.

Build and maintain analytical assets and dashboards that support product decision-making across Nebius's AI cloud platform. Work with data to identify trends, measure product performance, and enable cross-functional teams to make data-driven decisions.

Use data analysis, SQL, and analytics tools to drive marketing strategy and ROI optimization at a direct-to-consumer e-commerce company. Work with marketing teams to uncover insights, build dashboards, and inform campaign decisions using company data and AI/analytics infrastructure.

Build and maintain business dashboards and reports using Excel and data analysis tools to support sales and operations teams. Identify trends in performance data, optimize processes through data-driven insights, and serve as the primary analyst for stakeholder reporting needs.