Top Analysis Reporting Jobs in Albuquerque, NM

As a Blockchain Intelligence Analyst, you will analyze blockchain data, provide insights on crypto activities, and produce intelligence reports to combat financial crime.

As a Senior Data Analyst, you'll analyze complex datasets to provide actionable insights for marketing and business strategy. You will collaborate with various teams to optimize client performance, build forecasts, and support ongoing metric analysis.

Lead measurement strategy for a book of marketing clients using statistical modeling (MMM), experiment design (MMT), customer analysis, and attribution. Translate large data sets into actionable insights using R, Python, and SQL; present recommendations to clients and mentor measurement analysts while improving processes and leveraging Power Digital's Nova and AI tools.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

Design and optimize BI semantic models and analytics workflows using PowerBI and Tabular Editor; build and transform large-scale datasets in BigQuery with dbt; implement CI/CD and deployment via GitHub and Azure DevOps; collaborate with stakeholders to deliver actionable visualizations and integrate Agentic AI into analytics pipelines.

Lead design and optimization of analytics products and Tableau dashboards, manage and tune reporting data pipelines (Redshift/ETL), implement performance best practices, collaborate cross-functionally, and drive automation and AI opportunities to improve reporting and analytics for healthcare customers.

Design, implement, and optimize AWS-based data infrastructure and automated ETL/ELT pipelines using Airflow, DMS, Glue, Redshift, and Athena. Build Terraform modules and CI/CD for data workflows, enforce security/IAM, implement observability, optimize performance/cost, and mentor junior engineers.

The Data and Analytics Consultant will design, develop, and implement data reporting, visualizations, and analytics solutions for clients while assisting them in data understanding and value extraction.

The Manager will lead client projects in Data and Analytics, focusing on strategy formulation, process automation, and data visualization, collaborating with various stakeholders.

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.