Top Data & Analytics Jobs in Phoenix, AZ

Designs, develops, and maintains enterprise Tableau dashboards and business intelligence solutions. Partners with stakeholders, data engineers, and architects to define KPIs, build trusted data sources, optimize performance, apply governance and security, and deliver intuitive analytics. Supports Tableau Server or Cloud publishing, permissions, troubleshooting, documentation, and user enablement while ensuring consistent metrics and high-quality executive insights.

Develops scalable business intelligence and analytics solutions for Microsoft’s cloud data center delivery lifecycle. Builds data assets, dashboards, models, and automated workflows; improves data quality and reporting; translates complex business questions into analytical requirements; identifies process improvements; and delivers actionable insights to technical and executive stakeholders through cross-functional partnership.

Lead business-technology alignment for enterprise data solutions: capture and document requirements, map source-to-target data flows, implement data quality rules and dashboards, integrate with the business glossary, automate processes, and create Power BI visualizations to present analytic recommendations.

Administers corporate studio and purchasing systems, including data validation, mapping, integrations, testing, maintenance, reporting, scorecards, and discrepancy resolution. Provides system support, troubleshooting, training, documentation, and micro-learning content. Coordinates studio communications, audits configuration data, supports community launches, and delivers actionable insights to leadership and stakeholders. The role is onsite and may require travel up to 50%.

Leads complex fraud analytics initiatives, including detection development, back-testing, optimization, monitoring, trend analysis, and incident support. Builds executive dashboards and reporting, establishes data quality and performance controls, documents methodologies, and translates findings into actionable recommendations. Provides technical direction, reviews analyst work, coaches peers, and partners with investigative, risk, and technology teams on fraud detection and data modernization.

Develop and maintain quantitative models for volume forecasting, capacity planning, workforce scheduling, scenario analysis, vendor modeling, and operational reporting. The role monitors model performance, ensures Model Risk Management compliance, standardizes model usage, and presents findings to executive leadership. It requires advanced analytical, simulation, optimization, database querying, and quantitative problem-solving skills, with preferred experience in banking analytics and statistical modeling.

Develops and maintains advanced dashboards and data visualizations using BI and visualization tools. Translates business requirements into clear visual solutions, optimizes dashboard performance and usability, collaborates with cross-functional teams, mentors junior developers, and contributes to visualization standards. The role also involves SQL, data modeling, cloud data sources, Snowflake, ETL/ELT concepts, and scalable analytics practices.

Develops and supports reporting, analytics, dashboards, workflows, and business applications using Microsoft Power Platform tools. Partners with stakeholders to gather requirements, analyze processes, recommend technology solutions, automate manual work, and improve operational efficiency. Responsibilities include solution testing, implementation, documentation, maintenance, and enhancements while collaborating with business and technology teams.

Lead design, development, and administration of enterprise Power BI solutions and Azure-based data pipelines. Build semantic models, dashboards, KPIs, and advanced analytics (forecasting, segmentation, predictive models). Optimize T-SQL, DAX, and ETL/ELT processes, enforce data governance and RLS, mentor teams, and partner with executives and stakeholders to translate business goals into scalable BI solutions.

Summer 2026 Analyst Intern responsible for analyzing uncertain and ambiguous business data, validating information, identifying trends, preparing reports and visualizations, and communicating insights that support business decisions. The role involves customer and team collaboration, root cause analysis, research, and identifying business opportunities. Candidates should understand analytics, statistics, modeling techniques, data mining, and business intelligence tools, with proficiency in Microsoft Office.