Data & Analytics

Set up and optimize Meta/Facebook advertising campaigns, managing targeting, creatives, and performance metrics like ROAS and CTR. Involves analyzing campaign data, running A/B tests, and generating regular performance reports to identify optimization opportunities.

Transform marketing datasets into actionable insights using SQL, Python, and modern data platforms. Work with marketing teams to build reports, automate workflows, and implement AI-driven analytics solutions.

Design statistical experiments and build predictive models to optimize how iwoca acquires new small business customers, working cross-functionally with marketing and sales teams to drive business growth through data-driven insights.

Lead a team of 4 data analysts to drive product strategy and decision-making through data insights, collaborating with senior product leadership to optimize platform performance and inform roadmap decisions.

Manage pharmaceutical data quality, integrity, and lifecycle within GCP environments—focusing on documentation, validation, standardization, and process improvement rather than software development. Day-to-day involves data auditing, quality controls, cross-team coordination, and reporting.

Design and execute A/B tests with statistical rigor, build Power BI dashboards and data models, and present data-driven insights to business stakeholders. Requires analytical thinking and technical skills but focuses on insights and communication rather than software development.

Build investment intelligence and research infrastructure at an early-stage VC firm, combining data analysis, AI/ML application, and venture capital domain expertise. Work directly with investors and researchers to develop tools and insights that inform investment decisions.

Lead the consolidation of scattered company data into a unified cloud platform and embed AI automation into core business processes across marketing, finance, supply chain, and customer service. Manage a small 2-person team while acting as the bridge between business stakeholders and technical implementation.

A data analyst role within a creative marketing agency focused on analyzing marketing performance, customer insights, and campaign effectiveness to drive strategic decisions for major brand clients.

Lead data governance strategy and implementation across B Lab's data platform, establishing policies, standards, and processes for data quality, compliance, and organizational data practices rather than building systems.

A senior-level data science role focused on extracting insights from data, building analytical models, and driving business decisions—leveraging technical skills but shifting focus from software engineering to data-driven problem solving.

Maintain and optimize CRM data quality in HubSpot, manage SharePoint documentation, and create reports/dashboards for a sales team. This is a structured, systems-focused role that leverages analytical thinking without requiring coding.

Lead data analytics strategy and team for an insurance company's claims division, building dashboards, analyzing large datasets, and presenting insights to executives using SQL and Tableau.

Manage billing processes, revenue recognition, and financial data across Trainline's revenue streams. Work with commercial and operations teams to ensure accurate financial reporting and provide business insights through data analysis.

Build data pipelines and analytics infrastructure to drive product decisions at a fintech company. Work with self-serve analytics tools (Looker) and real-time data systems to empower business teams, with some hands-on data work but heavy emphasis on enabling others rather than pure engineering.

This working student role involves managing and analyzing performance marketing campaigns across Google, Meta, and Pinterest, translating data insights into optimization strategies, and collaborating with creative teams to improve campaign performance.

Design and execute measurement frameworks (attribution, incrementality, MMM) to help advertisers understand media performance, working cross-functionally with sales and product teams to translate complex analytics into actionable business insights.

Data quality and operations role focused on analyzing, validating, and reconciling technical data across multiple systems (Salesforce, SQL databases, backend systems), plus creating data visualizations and managing queries to support business operations.

Support RevOps and Sales Operations through HubSpot data management, email campaign optimization, and lead qualification, with potential to grow into technical automation and data analysis work.

Manage and optimize Google Ads campaigns at scale, focusing on performance analysis, budget allocation, and AI-driven optimization rather than coding. Work involves strategic campaign planning, data analysis, and continuous testing to drive measurable business results.