Data & Analytics

Own the digital measurement and analytics strategy for a global e-commerce company, translating user behavior data into product and business decisions. Work across Product, Marketing, and Engineering to design tracking solutions, implement measurement frameworks, and derive actionable insights from millions of user interactions.

Build and maintain data infrastructure for people analytics while partnering with HR stakeholders to deliver insights that drive organizational decisions. Combines data engineering rigor with product ownership to create dashboards and analytics products that executives and managers actually use.

Build and maintain sales performance dashboards and reporting infrastructure using tools like Salesforce and Metabase, then partner with sales leadership to analyze metrics, identify growth opportunities, and drive data-informed business strategy for the German sales organization.

Use data analysis and statistical methods to inform marketing strategy and decision-making at a European second-hand marketplace. Work with product, marketing, and business teams to measure campaign effectiveness, identify growth opportunities, and optimize user acquisition and engagement.

Build and maintain marketing measurement infrastructure across 14 markets, designing dashboards and analytics systems that drive spending decisions. Owner of data quality, tracking implementation, and analytics automation using tools like Looker and GA4.

Analyze customer service data to identify pain points and operational inefficiencies, then generate insights and recommendations to improve customer experience, product features, and internal processes. Heavy focus on data interpretation, stakeholder communication, and driving business improvements rather than building systems.

Analyze marketplace data and trends to inform pricing, promotional, and strategic business decisions for a home services platform. Work cross-functionally with marketing and product teams to develop data-driven initiatives that optimize revenue and customer value.

Build data infrastructure and analytics to understand participant behavior across a marketplace lifecycle. Work with SQL and Python to create metrics, dashboards, and experimentation frameworks that drive business decisions rather than product features.

Student position focused on creating business analytics reports and management dashboards, analyzing financial/operational metrics, and presenting insights to executives for strategic decision-making. No coding required.

Build and maintain data platforms, pipelines, and analytics infrastructure that enable business decision-making across a healthtech company. Work with stakeholders across commercial, marketing, and clinical teams to translate business questions into data insights and analytical solutions.

Lead data science strategy and initiatives at a sportswear company, focusing on translating business problems into data-driven solutions, mentoring junior data scientists, and partnering with product/engineering teams rather than writing production code.

Lead data-driven growth initiatives for Nebius's AI cloud platform by analyzing user behavior, identifying growth opportunities, and translating insights into product recommendations. This role bridges analytics, product strategy, and business metrics rather than requiring hands-on coding.

You'll audit and validate AI training datasets, analyze annotator performance metrics using SQL/Python, and build dashboards to optimize data labeling pipelines. The role focuses on data quality assurance and operational insights rather than building features or systems.

Lead data quality, import processes, and analytics framework development for a spare parts product database. Day-to-day involves managing data pipelines, conducting quality assurance checks, collaborating with teams on reporting requirements, and optimizing data structures.

Design and run A/B tests and causal inference analyses to measure the impact of PlayStation features and business initiatives, translating experimental results into actionable recommendations for product and commercial teams.

Design and implement experimentation frameworks, causal inference methodologies, and measurement strategies to help PlayStation teams evaluate product impact and make data-driven business decisions. Provide technical leadership on analytics best practices across the organization.

Analyze power grid data and market trends to inform renewable energy investment decisions, combining data science, ML modeling, and domain knowledge. Spend most time on data pipeline development, regulatory research, and presenting insights to stakeholders rather than production coding.

Work-study position focused on analyzing terminal operations data in rail freight logistics—cleaning datasets, identifying process inefficiencies, and creating visualizations and reports to optimize logistics operations. Heavy emphasis on Excel, data structuring, and process documentation rather than coding.

Performance Manager role focused on building and maintaining IT performance dashboards, reports, and analytics. Day-to-day involves data quality assurance, creating KPI reports, supporting governance processes, and collaborating with stakeholders to analyze IT service metrics and performance.

Manage and develop Salesforce infrastructure for an impact finance firm's investor relations team, focusing on data administration, process digitalization, and investor database management rather than software development.