Data & Analytics

Managing and optimizing HubSpot CRM infrastructure, lead routing systems, and marketing automation workflows. Day-to-day involves building tracking setups, designing lead scoring logic, creating process automations, and ensuring data quality across the sales funnel.

A working-student role focused on data analysis, process automation, and business intelligence for a digital media company. Day-to-day involves analyzing CRM and external data sources, creating dashboards and reports, automating sales workflows, and identifying partnership opportunities across their product ecosystem.

Build and maintain CRM analytics dashboards using Power BI, deliver insights on customer behavior and campaign performance across 45+ markets, and develop automated reporting solutions to drive business growth and optimize marketing ROI.

Work with marketing and commercial teams to analyze business data, build data-driven insights, and help clients optimize their marketing effectiveness and commercial decisions using AI and analytics rather than core software development.

Lead analytics modeling and data strategy work for a media/advertising platform, translating business problems into analytical solutions and managing a team focused on data insights rather than software development.

Build financial models and analyze SaaS performance metrics to provide actionable insights to product and growth teams. Spend most time working with data and creating analyses rather than traditional finance governance.

Work with product teams to analyze user behavior data, define success metrics, and translate quantitative insights into product strategy recommendations. Collaborate with PMs, designers, and engineers to ground product decisions in evidence rather than making them yourself.

Lead a team building data platforms and analytics infrastructure for a fintech company's borrowing products. Focus on scaling data capabilities, mentoring engineers, and enabling data-driven decision-making across the business rather than writing production code.

Partner with product and data science teams to analyze financial data, build insights on customer financial health, and drive data-informed decisions around lending products and regulatory compliance—primarily using SQL, analytics tools, and dashboards rather than software development.

Manage data quality, KPIs, and commercial processes by administering Sitetracker systems, building dashboards in Power BI/Tableau, and conducting analysis to support business strategy and reporting.

Turn raw operational and business data into actionable insights using SQL, visualization tools, and statistical analysis. Work cross-functionally with operations and business teams to identify patterns, solve real-world problems, and drive decision-making in a circular economy/sustainability company.

Define and deliver campaign reporting, analytics, and optimization solutions for media clients by combining data and technology to generate actionable insights. Support analytics strategy across client accounts while identifying growth opportunities.

Lead a data-driven strategy for debt recovery operations at an energy company by analyzing customer data, measuring collection outcomes, building reports, and recommending process improvements to finance and operations teams.

Build and lead financial planning, data infrastructure, and business intelligence systems for an e-commerce company. Responsibilities span from traditional finance/controlling to designing automated data pipelines, dashboards, and analytics platforms using tools like BigQuery and Looker Studio.

Build and optimize email marketing flows in Klaviyo, manage WhatsApp lifecycle campaigns, and reduce subscription churn through data-driven retention strategies. Requires analytical thinking and technical platform knowledge but minimal coding.

Build and maintain data pipelines, dashboards, and automation tools that serve multiple stakeholders (radiologists, PMs, AI engineers) across a medical imaging AI product. Translate raw data into actionable insights and ensure teams can access and explore data efficiently.

Work with a 50-person data consulting team analyzing customer behavior, building segmentation models, and creating predictive scoring systems (churn, cross-sell) to drive marketing decisions for enterprise clients.

Lead data governance strategy and frameworks for B Lab's data platform, working with cross-functional teams to establish policies, standards, and processes rather than writing code. This role focuses on organizational data management, compliance, and enabling others to use data effectively.

Build and maintain revenue analytics products and data pipelines that drive commercial decision-making across multiple markets. Work with business stakeholders to translate revenue challenges into scalable analytical solutions, owning KPI governance and strategic reporting infrastructure.

Own commercial performance analytics end-to-end for Back Market's strategy team, building data models and delivering insights that directly influence business decisions rather than executing on predefined requests. This role combines technical data work with strategic business impact and stakeholder communication.