Top Analysis Reporting Jobs in Albuquerque, NM

Design, build, and operate resilient batch and streaming data pipelines. Own datasets end-to-end. Collaborate with data science teams and define data quality standards.

The Senior Manager, Partner Strategy & Analytics will lead analytics initiatives, define partner performance metrics, and drive strategic recommendations across partner programs to influence growth and productivity.

The Revenue Operations Analyst will analyze performance metrics, conduct quantitative analysis, automate operations, and ensure data integrity to support revenue teams.

The Senior Manager, People Analytics will lead analytics initiatives to transform workforce data into strategic insights, manage complex projects, and communicate findings to executives, fostering a culture of data-driven decision-making throughout the organization.

The Director of Reporting and Data Management oversees data infrastructure for Workforce Management, establishing objectives, managing teams, ensuring data storytelling aligns with strategy, and leading predictive modeling efforts.

This role involves collaborating with stakeholders to translate business questions into data insights, developing SQL queries, and supporting AI-driven analytics workflows.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

The Senior Data Engineer designs data architectures, optimizes data pipelines, gathers requirements, ensures data integrity, and provides analytics solutions for stakeholders.

The Senior Data Analyst will support the Go-To-Market team by improving performance measurement, identifying growth opportunities, and developing data products while leveraging analytics engineering tools.