Top Data & Analytics Jobs in Albuquerque, NM

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Build and maintain scalable data platforms, databases, ETL/ELT pipelines, data models, and CI/CD workflows. Translate stakeholder requirements into technical solutions, implement data governance and quality practices, integrate APIs and external sources, optimize infrastructure, and support analytics and data science teams. The role requires Python, PostgreSQL, AWS, production pipeline operations, monitoring, and eligibility for Secret clearance.

Develops and administers the organization’s information management system and plan, including governance, records management, lifecycle controls, data classification, security, privacy, data quality, compliance, and information architecture. Establishes policies, retention schedules, standards, documentation, and performance measures; supports information systems and audits; provides training and recommends continuous improvements. Requires onsite work in Albuquerque or Washington, DC, and a Department of Energy Q-level clearance or ability to obtain one.

Evaluate search engine results and provide feedback on text, audio, images, and videos to improve AI and online search experiences. Conduct online research, assess relevance and significance, maintain quality and accuracy standards, and complete assignments independently from a home office. The role requires English and Spanish proficiency, flexible part-time availability, completion of training and testing, and use of a smartphone, computer, reliable internet, and antivirus software.

Supports the design and implementation of financial and management reporting and analytics. Oversees business intelligence strategy, KPI alignment, report rationalization, data governance, and reporting automation. Partners with finance and actuarial teams to improve reporting efficiency, consistency, quality, timeliness, and risk management. Requires business intelligence, relational database, project management, strategy, change management, process improvement, and reporting experience, with Oracle reporting expertise preferred.

Deliver geospatial solutions including data management, spatial analysis, cartography, and web app publishing using Esri tools. Automate workflows with Python/ArcPy, build Arcade expressions, manage spatial databases, and support asset management and client-facing tasks.

Build and optimize Hipp’s analytics data platform, including production data pipelines, warehouses, schemas, dashboards, reports, and data models. Write complex SQL, monitor data quality, perform product and operational analysis, and translate business needs into technical solutions. Collaborate with product managers and data scientists to support AI and ML initiatives, deliver reliable insights, and inform product strategy.

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.