Top Data & Analytics Jobs in Albuquerque, NM

The Junior Data Architect will design data models, optimize SQL queries, support data integration, and enforce data governance practices within AWS environments.

The HSSE Technical Writer will develop, implement, and maintain HSSE program documentation, ensuring quality control and compliance with regulations and business needs, while collaborating with various teams.

The EDI Systems Analyst II collaborates with business units to manage EDI requirements, analyze processes, ensure compliance, and communicate project priorities. They lead requirement gathering sessions and improve workflows while partnering with developers.

The Senior People Data Scientist will deliver HR reporting and analytics using Oracle HCM and Databricks, focusing on data extraction, analysis, and visualization through Power BI. Responsibilities include ensuring data accuracy, compliance with privacy regulations, and collaboration with HR leaders to drive insights and enhance reporting capabilities.

The Senior Data Analyst at Signature Aviation analyzes operational and safety data, develops dashboards, and collaborates with cross-functional teams to improve performance and decision-making.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

The Director of Machine Learning Science will lead teams in delivering ML solutions, drive innovation in search and personalization, and engage with engineering and product teams.

The Product Sales Data Analytics Specialist will develop data pipelines, build dashboards, monitor data quality, and present analytics insights to stakeholders, influencing business decisions.

The GIS Analyst will evaluate and manipulate GIS data, reconcile geospatial analysis and prepare documentation for various GIS projects in public safety.

The role involves building and maintaining data infrastructure, developing data pipelines, optimizing data models, collaborating with teams to provide actionable insights, and deploying AI-driven solutions.

The Control Tester - Data & AI Governance leads testing activities for Data and AI Governance controls, assessing their effectiveness, documenting findings, and communicating with stakeholders.