Top Analysis Reporting Jobs in Albuquerque, NM

Serve as the bridge between business stakeholders and development for internal data initiatives. Own intake, discovery, and requirements documentation for analytics, BI, and reporting. Write user stories, acceptance criteria, data definitions, and reporting logic. Maintain a prioritized backlog, support stakeholder validation of prototypes, participate in agile ceremonies, and resolve requirement gaps and risks to ensure development can execute independently.

The Senior Data Engineer will maintain and improve data infrastructure, design ETL processes, and create high-performance pipelines for analytics and AI initiatives using SQL and Python in cloud environments.

Support Ivanti ITSM/Neurons implementation by designing ETL and data migration, cleansing and mapping legacy asset records into a CMDB, building SQL reports and KPIs, validating data quality and integrations, supporting UAT, documenting processes and training staff, and participating in Agile sprints to optimize ITAM workflows.

In this role, you'll develop data pipelines, architect scalable data solutions using Snowflake, ensure healthcare compliance, and manage master data management initiatives.

Lead data engineering for a healthcare scheduling platform rebuild: map legacy multi-TB schema, design target schema, build translation layer (views/materialized views and write mappers), ensure data consistency during parallel systems, plan per-tenant cutover with verification and rollback, tune DB performance, instrument data quality/lineage/audit, and mentor engineers.

Perform hands-on data engineering to assess legacy sources, profile and cleanse data, design and run ETL/ELT migrations into Azure Government environments, validate and reconcile migrated data, implement data quality checks and basic governance, and prepare curated datasets for analytics (Power BI) while coordinating with application teams and producing contract deliverables.

Lead architecture and delivery of scalable ELT pipelines and data models using tools like Databricks, dbt, and Airflow. Build self-serve analytics products and BI solutions, drive data governance and observability, partner with data scientists and stakeholders, and develop frameworks (including AI-driven tooling) that enable data discoverability, reliability, and business impact.

Lead a team to analyze sales data, build and maintain Power BI and Excel reporting, leverage AI and automation for pipeline and lead scoring, align cross-functional GTM strategies, ensure data quality, and deliver actionable, executive-ready insights to drive sales performance and quota attainment.

Lead healthcare data analysis and quality efforts across claims, pharmacy, and enrollment data. Translate business needs into technical requirements, build complex queries, recommend process and data improvements, manage projects, and mentor team members while liaising between operations, R&D, and IT.

Lead design and delivery of end-to-end BI solutions and market-facing analytics tools. Define strategy and roadmaps, translate business needs into requirements, guide development and testing, oversee deployments, ensure data governance, and liaise with stakeholders to prioritize fixes and maintain documentation and compliance.