Data & Analytics

Transform raw business data into strategic insights for growth marketing and business decisions at a fast-scaling foodtech company. Partner with stakeholders to analyze customer acquisition, retention, and pricing metrics that directly influence company strategy.

Central analytics role focused on Go-to-Market strategy and business insights, working with cross-functional teams to translate data into actionable recommendations for marketing, sales, and product decisions. Involves funnel analysis, A/B testing, cohort analysis, and performance monitoring across customer segments.

Drive customer acquisition and marketing campaign performance through data analysis and optimization across digital channels. Translate analytics into marketing strategy, manage performance marketing budgets, and scale successful campaigns.

Transform business and client data into actionable insights and strategic reports for leadership across Sotheby's luxury division. Work with specialists to identify trends, opportunities and performance metrics that drive decision-making.

Analyze business data and operational metrics to identify opportunities and optimize Picnic's grocery delivery model; work cross-functionally to translate analytical findings into actionable business strategies and improvements.

Analyze business data to identify opportunities and support strategic decisions at a grocery delivery company. Work with experienced analysts on real-time models and communicate findings to cross-functional teams.

Work with Revenue teams to analyze business processes, improve performance through data-driven insights, and build efficient operational systems. Focus on cross-functional collaboration, process optimization, and supporting leadership decision-making rather than coding.

Analyze field data and system failures from deployed robots to identify root causes, develop diagnostic tools, and drive technical improvements across hardware and software systems. This is a bridge role between pure engineering and data-driven problem-solving.

Lead a team of commercial data analysts to generate business insights that drive pricing, sales, and marketing decisions for an energy company. Combines hands-on analytics work with strategic team leadership and cross-functional stakeholder management.

Conduct process simulations, lifecycle assessments, and sustainability modeling for Power-to-X energy projects. Focus on data analysis, calculations, and environmental impact evaluation rather than software development.

Analyze Alma's financial metrics, unit economics, and contribution margins to drive business decisions on pricing, partnerships, and products. Own P&L ownership for specific business segments and create recurring analyses and board materials.

Build and lead an organization-wide data infrastructure and analytics function for a political party, designing data stacks, dashboards, and reporting systems to support strategic decision-making across multiple departments and data sources.

Lead the design and oversight of pricing models that drive insurance decisions, working with actuarial techniques and AI/ML approaches. Day-to-day involves defining model strategy, mentoring pricing teams, and ensuring models balance risk accuracy with business objectives.

Revenue Operations analyst role focused on optimizing sales performance through data analysis, process improvement, and strategic insights. You'll work with sales/revenue data, identify optimization opportunities, and help drive business strategy using analytics rather than coding.

Build labour productivity models and reporting dashboards to help operations teams optimize scheduling and staffing. Work cross-functionally with finance and operations to translate analysis into actionable changes that business leaders can implement.

Design and build risk management systems (VaR, stress testing, scenario analysis) for trading strategies, validate models, monitor market/liquidity/counterparty risks daily, and develop AI-assisted risk workflows with human oversight.

A two-year graduate program combining digital marketing education with hands-on client campaign work, emphasizing data fluency, AI, and technical problem-solving rather than creative design.

Build financial and workforce forecasting models, translate demand data into staffing strategies, and work across Finance/Operations/Product teams to optimize labor costs and capacity planning. Focuses on analytics, modeling, and strategic decision-making rather than coding.

Analyze e-commerce and AI conversation data to identify performance drivers, then collaborate with product and engineering teams to translate insights into product improvements. Primary focus is data exploration and interpretation rather than software development.

Forward-deployed data scientist embedded within product/customer teams to translate business problems into data-driven insights, build analytical models, and guide decision-making—less coding, more strategic thinking and stakeholder collaboration.