Top Data & Analytics Jobs

Own the analytics foundation for Fieldguide Insights: design the semantic layer, define canonical tables/metrics, migrate report logic into governed dbt models, harden pipelines with monitoring and alerts, ensure data quality, and partner across product, engineering, and customers to enable reliable BI and emerging LLM/MCP analytics.

Lead strategic vision and execution of GitLab's data platform and analytics capabilities, focusing on AI-enabled self-service analytics and data governance.

The EO Imagery Analyst will provide geospatial and imagery analysis to improve data operations for ML algorithm testing, working with EO imagery products and metadata.

Lead design and scaling of the data platform and analytics pipelines. Build and maintain ETL/ELT workflows, integrations, serverless data services, and reliable data models. Mentor teammates, improve automation, observability, and data governance to support analytics and operational insights.

The Big Data Analyst will evaluate datasets, improve analytical methods, support software developers, and assist end-users to enhance decision-making processes.

Assist in building and maintaining the Beckett Trading Card Game database by researching and adding new TCGs, collecting secondary market sales data, updating the online price guide, performing data entry, creating an image library, supporting ad-hoc TCG projects, and collaborating with Product and Marketing as needed.

The Data Governance Engineer focuses on unstructured data governance, metadata cataloging, data quality management, and collaboration with stakeholders to enhance data compliance and discoverability.

Analyze warranty and reliability data to identify trends, risks, and cost drivers; develop dashboards and reports; support root-cause analysis, cost forecasting, and customer negotiations; ensure data integrity and drive continuous improvement across cross-functional teams.

Own fraud detection and mitigation for ACH payments: design controls, run investigations, analyze performance (precision/recall, financial impact), and partner with Product, Data Science, Risk ML, and Engineering to operationalize risk strategies and transition to model-driven controls.

Support Business Banking with analytics, reporting, dashboards, and automation to drive deposit acquisition, onboarding, funded balance growth, and retention. Produce forecasting and pipeline reporting, provide deposit strategy and profitability insights, enable go-to-market and campaign analysis, and standardize onboarding and data processes to improve efficiency and data quality.