Top Data & Analytics Jobs

As a Data Analyst II, you will analyze web and app traffic data to generate insights, develop metrics, evaluate experiments, and enhance user engagement and conversions.

Perform marketing analytics for Redfin integration: ingest and validate Redfin data feeds, analyze campaign performance and attribution, build dashboards and reports, and collaborate with marketing and engineering to support data pipelines and measurement.

Senior Data Analyst embedded in Finance to deliver executive-grade forecasting, intra-quarter pacing, P&L modeling, and automated reporting. Build finance data infrastructure on Snowflake, create dashboards and pipelines (Power BI, SQL, Excel), partner with IR and engineering, and mentor analysts to drive decision-ready insights.

Partner with product leadership to collect, analyze, and report data that drives operational excellence. Build and maintain BI tools, dashboards, KPIs, and reports; perform exploratory and end-to-end analyses; validate data quality and requirements; support migration to Sigma; communicate insights to stakeholders and identify opportunities to improve processes and product performance.

Design, build, and maintain complex batch and streaming data pipelines and integrations. Collaborate with engineering and analytics teams to model data, implement data exchange systems, automate and optimize processes, support dev/test/prod environments, ensure data quality, and participate in on-call rotation.

Own and evolve Redfin's analytics data warehouse and data lake. Design dimensional data models, build and tune ETL pipelines, write performant SQL, implement data ingestion and storage solutions, deliver end-to-end features, and collaborate with Analytics and Engineering to support production data needs.

The Senior Data Developer will build and maintain data pipelines, support data migrations, and mentor team members while ensuring data consistency and improving platform capabilities.

The Senior Data Engineer will design, develop, and maintain data platforms, create ETL processes, handle data quality issues, and mentor teammates while ensuring scalability and performance in data solutions.

This role involves leading data infrastructure modernization efforts, architecture reviews, and migration planning while providing technical mentorship and establishing operational standards.

The Senior Fraud Risk Manager designs and executes fraud strategies, analyzes data for business decisions, and ensures compliance with policies.