Top Senior Data & Analytics Jobs in Albuquerque, NM

The Principal, Volume Forecasting will lead the end-to-end forecasting process, utilizing data-driven models and AI tools to influence strategic decisions, manage stakeholder input, and analyze market impacts on demand.

The Supervisor of Analytics Reporting position involves monitoring model performance, developing reports, providing mentorship, and utilizing analytical tools to drive business decisions. Responsibilities include data extraction, reporting on KPIs, and leading the analytics team to achieve business objectives.

The Senior Growth Strategy & Operations Analyst will analyze data for pricing and profitability, produce client reports, and support market research to drive growth strategy.

The VP of Reporting & Analytics leads the analytics function, developing strategies and insights for stakeholders, enhancing data literacy, and managing analytics teams while driving AI-enabled capabilities and BI infrastructure advancements.

Design, develop, and maintain enterprise BI solutions using MicroStrategy, Oracle, and PostgreSQL. Collaborate with stakeholders for reporting and dashboards, optimize performance, and leverage AI tools for automation.

The Data Engineer will design, build, and maintain data architectures and pipelines, ensuring data integrity and performance while collaborating with various teams to deliver impactful insights and solutions for business intelligence and analytics.

As a Senior Data Engineer, you will own GCP-based analytics infrastructure, design scalable data pipelines, and collaborate with engineering teams on data solutions.

The Director of Underwriting will lead the underwriting team, manage teams, develop skill sets, maintain relationships with partners, and present data insights.

The Senior Data Governance Analyst oversees data strategy and governance efforts, collaborating with IT and business stakeholders to ensure data quality and compliance within the enterprise data platform.

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.