Top Senior Data & Analytics Jobs in Albuquerque, NM

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

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

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

As a Principal Product Analyst, you will lead product analytics for unsecured installment products, executing high-impact analyses, optimizing user journeys, and collaborating cross-functionally to drive data-informed product strategies.

The Senior Ad Ops Engineer develops and manages data products for marketing activation, focusing on data pipelines, quality validation, and integration with marketing platforms.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

As Director of Product Analytics, you'll lead a team to define strategies that optimize the online casino experience, influence product innovation, and deliver insights to drive engagement and growth.

As a Senior Data Analyst at Bestow, you will automate data transformation pipelines, create data visualizations, ensure data quality, and collaborate with teams to drive insights in the insurance domain.