Top Data & Analytics Jobs in Albuquerque, NM

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

Lead a team of analysts to advance fraud and safety operations through analytics, ensuring robust data products and compliance while empowering stakeholders with actionable insights.

As an Analytics Engineer at Axios, you'll design and maintain data products and visualizations, improving decision-making through actionable insights.

The Senior Data Scientist will lead revenue-driving initiatives, optimize strategies, enhance data analysis techniques, and improve data pipelines for maximum revenue impact.

The Principal Data Engineer will manage the analytics data architecture, engage cross-functionally, and create reliable data systems using Snowflake and Python on AWS.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

Design and govern integration data architectures across platforms (eCommerce, CRM, Supply Chain, third-party integrations). Define data flows and models, enforce data governance and security, produce design specs, perform architectural and code reviews, troubleshoot complex integration problems, and collaborate with engineers, product owners, and vendors to deliver scalable data integration solutions.

Support FAA by reviewing and developing National Airspace System metrics; analyze large aviation datasets, perform data quality checks and automation, build dashboards, write user documentation, upload to Confluence, and prepare briefings and reports for FAA leadership.

Design, build, operate, and optimize large-scale data pipelines and foundational data products for Komodo's Healthcare Map. Improve pipeline reliability, observability, and performance; transform claims and EHR datasets; implement data quality, lineage, and monitoring; debug production workflows; collaborate with product and engineering teams; and enable downstream analytics and AI/ML use cases.

Lead design, implementation, optimization, and governance of Snowflake-based enterprise data platform. Build data models, ingestion and transformation pipelines, manage Snowflake administration and security, optimize performance and costs, enable AI/analytics via Snowpark/Cortex, maintain architecture documentation for compliance, and provide technical leadership and mentorship.

Own and QA high-impact retail data products: design and run QA, investigate and resolve complex data quality issues, collaborate with Insights and Engineering, improve automation and product reliability, and communicate methodology and limitations to clients.