Top Remote Analysis Reporting Jobs in Phoenix, AZ

Support definition, validation, testing, and stabilization of mission-critical data integrations and interfaces across source systems, staging, transformation layers, and reporting platforms. Perform source-to-target validation, reconciliations, interface testing, cutover readiness, production stabilization, issue triage, and documentation to ensure accurate federal financial reporting.

Own end-to-end market, company, and competitive research requests: scope, verify sources, track developments, and produce clear, decision-ready written briefs. Maintain research files, handle ad hoc requests with accuracy and turnaround, and help refine research processes. Support internal business needs and prepare work for potential client-facing engagements.

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.

As a Data Analyst at Solace, you will drive operational excellence by identifying inefficiencies, build scalable analytics systems, and communicate data insights to help the business scale effectively.

Lead design, build, and optimization of Sezzle's large-scale data warehousing and pipelines. Own data infrastructure KPIs/SLAs, improve Redshift performance, evolve the data stack, implement ETL/ELT workflows, and partner with cross-functional teams to deliver reliable, scalable datasets.

Senior BI/reporting role focused on LTSS & Dual Eligible programs. Develop ETL pipelines, complex reports, and interactive Power BI/Tableau dashboards; perform advanced data modeling, analysis, and governance to drive operational and clinical improvements.

Lead GTM analytics for Sales Operations: build and maintain dashboards, run SQL analyses on pipeline/booking/territory/productivity, improve Salesforce data quality, document metrics, support forecasting and ad-hoc GTM analysis, and leverage AI tools to automate and accelerate insights for GTM leadership.

Lead AMS360 data conversion projects: analyze source data, develop field-level mappings, execute and validate test conversions, reconcile data quality issues, use agentic AI to accelerate mapping/validation, maintain documentation, and support go-live activities under aggressive timelines.

Design and build a modern data foundation: develop and scale ETL/ELT pipelines, dbt models and macros, semantic/metric layers, and analytical apps. Ensure pipeline reliability and observability, document systems, gather stakeholder requirements, and contribute to cross-functional analytics and ML initiatives.

Lead data-driven initiatives to analyze complex datasets, build dashboards, present insights to leadership, and drive continuous improvement projects to improve operational performance and inform strategic decisions.