Top Remote Analysis Reporting Jobs in Phoenix, AZ

The Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

Build and maintain reliable data pipelines, Airflow DAGs, and Snowflake-based Data Vault/warehouse models. Implement CI/CD, automated testing, observability, and production support while partnering with stakeholders and developing insurance domain expertise.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Staff Analyst will design analytical frameworks, lead business case development, and provide insights across departments while mastering insurance analytics.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Design, build, and maintain dbt Core models and Snowflake data models to produce analytics-ready datasets. Lead ELT architecture, ensure data quality/testing/documentation, optimize performance, use Python for automation, mentor engineers, and support governance and AI reporting initiatives.

The Data Entry Specialist will accurately enter, update, and verify data, maintain records, and assist in data analysis, making it a suitable role for entry-level candidates.

Support data-driven operations by sourcing, integrating, validating, and transforming data; build and maintain dashboards, agency scorecards, and reports; analyze KPIs to identify improvement and cross-sell opportunities; measure campaign effectiveness; ensure data quality; partner with stakeholders and technology teams; support monthly reviews and ad-hoc analytics requests.

Use quantitative and qualitative analysis to generate strategic insights on market, regulatory, and macro trends; support product, pricing, credit, distribution, and member experience decisions; build analytical frameworks, communicate findings to senior leaders, and ensure risk and compliance alignment.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.