Top Senior Analysis Reporting Jobs in Albuquerque, NM

As a Senior Analytics Engineer, you will design the financial data backbone, integrating ERP data, building profitability models, and enabling data-driven planning in collaboration with Finance and Operations.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

Serve as a client-facing consultant translating business needs into technical specifications, delivering Liquid Data platform solutions, developing reports/dashboards, supporting implementations, and driving technology adoption while collaborating with internal teams and leveraging cloud, API, and BI integrations.

Lead Oracle Cloud reporting initiatives, ensuring data accuracy and performance while mentoring junior analysts and collaborating with stakeholders.

As an Analytics Engineer, transform raw data into metrics, manage data pipelines, ensure data integrity, and collaborate with teams for analytics solutions.

Design and scale data infrastructure, ensure data quality and governance, collaborate with teams on data products, and modernize practices.

The ETL Developer will design, develop, and test ETL scripts using the Informatica platform, gather requirements, and maintain database applications. They will also provide end-user support post-deployment and ensure requirement fulfillment.

The Senior Korean Linguist manages translation and copy-editing tasks, coordinates with freelancers, and ensures high-quality Korean-language deliverables while improving workflows and supporting quality efforts.

Design and maintain data systems for business-critical insights, connect data across platforms, build ETLs, and support business data decisions.

Perform data extraction from SQL/NoSQL systems, validate and transform data, and run statistical and psychometric analyses (IRT, reliability, norming). Validate assessment logic, define quality metrics, design research and simulation studies, and present findings via reports and dashboards. Collaborate cross-functionally and maintain current psychometric and data engineering practices.