Top Senior Analysis Reporting Jobs in Albuquerque, NM

The Senior Business Intelligence Engineer designs and maintains reporting solutions for IVR/IVA/Chat channels, optimizing data-driven insights and collaborating with cross-functional teams.

The Lending Quality Assurance Analyst performs QA reviews on lending products, conducts data analysis, recommends improvements, underwrites files, and ensures compliance with regulations.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.

Design and optimize SQL Server solutions, manage data, automate processes with PowerShell, and integrate with external systems to enhance functionality.

The Sr. Product and Market Research Specialist designs and executes market research to validate product concepts and inform strategies based on customer insights, collaborating across teams to align on product development.

The Senior Data Engineer will design, build, and support data environments, orchestrate pipelines, and implement data solutions for advanced analytics and machine learning, working closely with project teams.

As a Client Insights Lead, you'll develop analytics strategies, connect data across channels, provide actionable recommendations, and enhance client marketing decisions with insights.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

The Senior Statistical Programmer will program and validate datasets for clinical trials, oversee deliverables, manage projects, and ensure compliance with industry standards. Requires strong skills in SAS and R for statistical programming.