Top Remote Analysis Reporting Jobs in Albuquerque, NM

Analyze product performance metrics and user behavior to drive insights for product improvements. Collaborate with teams to develop reporting practices, A/B tests, and dashboards to inform strategy.

The Head of Lottery Data Engineering & Data Warehousing leads the strategy and delivery of the lottery data platform, ensuring quality, compliance, and efficiency in data processing and storage across jurisdictions and products.

The Senior Business Analyst will guide product teams, ensuring clarity in business needs and priorities, while focusing on user experience and product value.

The role focuses on business analysis and project management, emphasizing analytics and reporting in an Agile environment. Responsibilities include requirements elicitation, solution design, project coordination, and stakeholder engagement to meet business goals in the pharmaceutical sector.

The Payment Integrity Principal leads payment integrity strategy and automation across Lyric's platform, ensuring accurate payment logic and collaborating with various teams on technical requirements and improvements.

As a Principal Biostatistician, you will lead Phase I-IV clinical trials, provide statistical support, oversee internal programming, and contribute to various statistical activities.

The Business Systems Analyst supports claims operations by resolving system issues, managing tickets, and ensuring data integrity through collaboration, testing, and documentation.

The Senior Data Analyst will collaborate across teams to provide insights, build analytics databases, create dashboards, and automate reporting solutions. They will analyze data trends and partner with IT and product teams to enhance data models.

The role involves analyzing complex pricing strategies, conducting data-driven analyses, collaborating with cross-functional teams, and translating insights into strategic business recommendations.

The Data Engineer will develop and maintain data pipelines, build data models, ensure data quality, and support cross-functional teams while improving internal data platform infrastructure and documentation.