Data & Analytics

Build the data infrastructure and metrics foundation for a logistics marketplace from the ground up, defining KPIs, establishing single sources of truth across systems, and answering critical business questions that drive decisions—with AI handling execution while you own the logic and correctness.

Analyze credit risk data for energy customers facing financial hardship, using SQL/analytics tools to build models and dashboards that help the company make better lending decisions. Work cross-functionally with tech and operations teams to translate business problems into data insights.

Lead analytics strategy and insights for a media operating unit, translating data into business outcomes for major brand clients. Role involves interpreting media performance metrics, building analytics frameworks, and guiding data-driven decision-making across media investments.

Work with product teams to analyze user data, identify feature opportunities, and validate product decisions through data-driven insights and recommendations. Collaborate with PMs, designers, and developers to translate business questions into analytical findings.

Turn operational and financial data into actionable business intelligence by building data models, monitoring systems, and analytics pipelines. Work proactively with business stakeholders to surface insights, investigate anomalies, and drive decision-making across the organization.

Senior controller role focused on modernizing financial analysis through BI, predictive analytics, and AI tools. Day-to-day involves partnering with departments on budgeting and forecasts, building self-service analytics solutions, conducting financial analyses, and developing dashboards to drive data-driven decision-making.

Lead a team developing data analytics systems and innovation strategies to detect integrity risks and improve decision-making across a global organization. Balance strategic planning, stakeholder management, and hands-on ownership of data products with minimal coding requirements.

Analyze partnership conversion metrics and lead data to identify improvement opportunities, build dashboards and forecasting models, and drive commercial strategy across B2C partnerships. This is a data-driven analytical role focused on business outcomes rather than coding.

Analyze support operation data to identify inefficiencies and trends, then design and implement process improvements and tech solutions. Requires investigative data work, pattern recognition, and cross-functional collaboration rather than coding.

Analyze user behavior patterns across a fintech consumer app to identify growth opportunities, measure product impact, and inform strategic decisions through SQL queries, dashboards, and statistical analysis. Work cross-functionally with product and engineering teams to translate data into actionable insights.

Analyze user behavior data and product metrics to inform growth strategy, working with product and engineering teams to identify trends, diagnose drop-off points, and measure the impact of product changes on business outcomes.

Lead data strategy and reporting capabilities for a global business services team, owning data quality, governance, KPI definitions, and translating operational data into insights for leadership decision-making.

Build and optimize the operational backbone of go-to-market operations by owning HubSpot configuration, designing automation workflows, connecting product-led and sales-assisted motions, and managing revenue processes across the customer lifecycle.

Build internal GTM automation systems and data pipelines that identify and enrich sales prospects for an AI finance platform, combining data engineering with go-to-market strategy. This is a working student role focused on prospecting automation and data workflows rather than core product development.

Translate business requirements into BI solutions by developing dashboards, analyzing large datasets to identify trends, and using statistical modeling to inform commercial strategy decisions across pricing, marketing, and product optimization.

Transform raw financial data into strategic business insights through SQL analysis, reporting automation, and process optimization. You'll spend time querying datasets, identifying inefficiencies, and presenting findings to executives rather than writing production code.

Partner with cross-functional teams to translate business questions into data-driven insights and experiments using Claude and Databricks. Focus on hypothesis framing, analysis, and decision support rather than routine reporting.

Lead a team of analysts in marketing analytics and modeling work (MMM = Marketing Mix Modeling), overseeing data extraction, model development, and client communication. Focus is on analytical leadership, mentoring, and strategic client relationships rather than coding.

Lead analytics strategy and reporting for go-to-market functions, owning sales forecasting and pipeline metrics using Anaplan's platform. Translate business requirements into analytical solutions and drive data-driven decision-making across sales and marketing teams.

Validate and troubleshoot satellite data analytics pipelines across customer projects, working with geospatial datasets to ensure delivery quality and reliability. Collaborate with engineering teams to investigate issues, understand end-to-end workflows, and provide feedback on system improvements.