Top Data & Analytics Jobs in Albuquerque, NM

The Managing Consultant will lead project teams in Microsoft Fabric design, develop solutions, and maintain client relationships while ensuring quality and synergy across engagements.

The role involves developing customer-facing reports, providing insights, managing analytics for health systems, and collaborating cross-functionally to enhance operational efficiency.

The Senior Data Engineer at Unchained will design and implement data pipelines, integrate APIs, ensure data governance, and mentor team members while focusing on accuracy and security.

The Senior Analyst will provide insights to drive business growth, assess portfolio risks, and implement pricing strategies while collaborating with various teams.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Actuarial Analyst will assist in product development and profitability reviews, develop pricing models, and improve analytics capabilities.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

The Senior Business Intelligence Engineer will create data models, develop insights, collaborate with teams, and ensure data quality to drive business growth.

As a Senior Statistical Programmer, you will lead SAS programming efforts, develop specifications for data models, and produce analytical reports for clinical trials while ensuring compliance with industry standards.

The Principal Credit Risk Analyst leads credit risk evaluation, monitoring, and optimization for lending portfolios, collaborating with cross-functional teams to drive informed growth and ensure compliance with regulatory standards.

The Analyst I role involves data analysis, risk modeling, collaboration with teams to develop underwriting models, and utilizing statistical techniques for credit strategy optimization.