Top Analysis Reporting Jobs in Phoenix, AZ

Mid-level analyst owning analytical projects end-to-end: build dashboards, reports, and data models; conduct structured analyses to surface insights; partner with Finance stakeholders; improve processes and automation; mentor junior analysts; and ensure data quality, documentation, and clear communication of findings to technical and non-technical audiences.

Lead and grow the customer analytics practice for Communications, Media & Technology clients. Define analytics strategy and thought leadership, deliver large-scale client engagements, and oversee CRM modeling, reporting, and predictive analytics to drive client outcomes.

Audit, troubleshoot, and improve client web and mobile analytics implementations; implement and QA tracking via tag management; generate and present scheduled and ad-hoc reports; identify KPIs and measurement strategies; provide technical documentation and support to development and performance teams to ensure accurate data collection and actionable insights.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Develop and deliver Hadoop-based analytics solutions. Plan and execute big data, predictive analytics, and ML initiatives. Build and tune Hive/HQL tables and queries, run Pig jobs, orchestrate HDFS workflows, perform ETL, debug on Linux/Unix, apply OOP/design patterns and TDD practices.

Lead prospect research and portfolio moves management to support major gift officers. Oversee prospect identification, research, pipeline strategy, KPI reporting, vendor oversight, and staff development to drive fundraising cultivation, solicitation, and stewardship aligned with organizational priorities.

Build, maintain, and communicate reports and dashboards; collaborate with stakeholders and senior analysts to design data solutions; explore and model datasets to derive insights; support reliable access to data; promote adoption of BI tools; participate in knowledge sharing and continuous improvement of analytic practices.

Develop and prototype software and modeling solutions for factory automation. Perform discrete event simulation, statistical analysis, and modeling to solve manufacturing and stochastic systems problems. Collaborate with cross-functional teams and industry partners to validate ideas and drive manufacturing roadmap improvements.

Collects, organizes, and validates telecommunications and technical data from multiple sources, inputs and reconciles records to meet quality standards, analyzes databases for consistency and patterns, performs data extraction and basic automation, generates reports, and mentors junior staff while adhering to security and ISO 9001:2015 procedures.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.