Top Analysis Reporting Jobs in Albuquerque, NM

Lead architecture and reliability of the data platform, build and harden ingestion (batch and CDC), own BigQuery+dbt transformations, establish testing/observability/governance, mentor engineers, develop Python tooling and APIs, run POCs for lakehouse/open table formats, and define AI-assisted development practices.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Lead design, governance, and evolution of enterprise data architecture for analytics and DoD clients. Own data modeling, cataloging, lineage, and quality; design data solutions in Python and SQL; perform client-facing data maturity assessments; enforce governance and support secure, schedule-driven delivery.

Design, build, and maintain interactive Power BI and MicroStrategy dashboards supporting IT operations. Perform ETL and data integration, query complex databases, validate data accuracy, ensure DoW compliance (STIGs, IL5/6/7), collaborate with stakeholders, document standards, and train users to translate data into actionable insights.

Deliver geospatial solutions including data management, spatial analysis, cartography, and web app publishing using Esri tools. Automate workflows with Python/ArcPy, build Arcade expressions, manage spatial databases, and support asset management and client-facing tasks.

Lead technical analytics for client and employer reporting: gather requirements, build/validate/automate reports and data files, perform UAT and dataset comparisons using SQL/Python/R, design monitoring and validation automations, and enable stakeholder self-service while applying healthcare claims and enrollment domain knowledge.

Process, validate and QA large survey datasets; produce datasets, tables, codeframes and documentation; support weighting, testing and statistical analyses; learn and apply Python/R, automation and AI-assisted tools; improve automated processing workflows under senior guidance.

Senior data processing analyst responsible for end-to-end survey data processing: specifications, weighting, QA, documentation and deliverables. Produce datasets and tables, perform statistical tests, and modernise/automate workflows (Python/R, replace SPSS). Apply AI-assisted tools, act as technical lead for projects, and mentor junior analysts.

Lead and develop a team delivering enterprise data engineering, analytics, and governance. Oversee data pipelines, ETL/ELT, cloud platforms, integration services, and stakeholder engagement to enable data-informed decision-making across the university system.