Top Analysis Reporting Jobs in Albuquerque, NM

Design and deliver end-to-end Azure Data & AI solutions. Lead technical presales, architect production-ready lakehouse platforms, guide delivery teams, ensure CI/CD, governance, performance, cost optimization, and strong client satisfaction.

The Manager of Solutions Engineering will lead a team of Solutions Engineers, focusing on customer engagement, technical demonstrations, and mentoring while enhancing POC success.

Lead the architectural direction of Seer's data platform, mentor engineers, optimize data processes, and integrate AI solutions to enhance data-driven decision-making.

The Senior Data Architect designs scalable data architectures across Azure and Snowflake, aligning data strategies with business goals, ensuring data governance, and leading modern data initiatives. They mentor teams and oversee architecture documentation and solution design reviews.

As a Senior Analytics Engineer, you will own Solv's analytics stack, focusing on data pipeline efficiency, customer-facing analytics, and AI-powered tools, working with internal teams to improve metrics, dashboards, and data visibility.

As a Senior Data Scientist, analyze healthcare data to improve health outcomes, develop reports and dashboards, and collaborate across teams to leverage genomic data for health insights.

The Data Analyst will support operational reporting and stakeholder needs, working with SQL and Artiva to meet business requirements through data and reporting solutions.

The Solutions Consultant will conduct product demos, assist in sales cycles, and provide evidence of product value while maintaining product knowledge and client relations.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

The Senior DataOps Engineer oversees data management and storage systems, ensuring timely access to secure and accurate data, improving data workflow automation, and collaborating with teams to meet business needs.