Top Analytics Jobs in Phoenix, AZ

Own the enterprise data glossary, business definitions, governance policies, quality controls, lineage documentation, and approved sources of truth. Translate cross-functional data needs into reusable definitions and reporting, support business users, investigate data quality issues, and coordinate with product and technical teams on data model changes. The role operates independently as a senior individual contributor and drives adoption of governed data across internal and external stakeholders.

Develops business intelligence, reporting, data pipelines, dashboards, and geospatial solutions for complex real estate portfolios. Transforms and integrates data from multiple sources, builds scalable analytics products, automates reporting processes, and supports portfolio planning, occupancy strategy, workplace initiatives, and operational decision-making. Partners with stakeholders and clients to translate business needs into technical solutions, communicate insights, train users, and improve analytics adoption. The role also supports geospatial capabilities and leverages emerging AI-enabled tools.

Partner with People Analytics Consultants to analyze HR data, deliver actionable insights for talent decisions, workforce planning, retention, and employee experience. Design analyses, present findings to leaders, manage multiple projects, and help enhance analytics solutions.

Senior analytics leader who defines analytic strategy, leads a team of SQL analysts and BI developers, architects scalable frameworks for medical economics, risk, population health and value-based care, ensures methodological rigor in DBT/Spark and Quicksight dashboards, drives automation and AI integration, presents to executive stakeholders, and mentors senior analytic talent.

Leads the design and implementation of AI-powered data pipelines, enterprise feature stores, analytics-ready repositories, and self-service data access layers. Builds automated feature engineering, data quality, observability, and governance capabilities for large-scale data science workloads. Partners with Enterprise IT, establishes data availability and quality SLAs, integrates structured and unstructured data sources, and leads teams delivering scalable analytics infrastructure.

Leads the Sales Analytics and Reporting function and manages Sales Analysts. Oversees dashboards, scorecards, KPI tracking, profitability analysis, business insights, executive reporting, and sales technology platforms. Partners with Sales, Finance, Product, Technology, and other stakeholders to improve performance, profitability, planning, and decision-making. Develops team capability, reporting processes, platform adoption, and analytical effectiveness while translating complex data into actionable recommendations.

Build and maintain dbt analytics models using SQL and Jinja, implement data quality tests and freshness checks, create Metabase dashboards, perform ad hoc analysis, and collaborate with finance, product, sales, and customer success stakeholders. The role requires advanced SQL, data modeling, analytics engineering, documentation, statistical analysis, Git-based development, and CI/CD experience, with Snowflake, Python, and data analysis tools preferred.

Leads analytics for SEO, AI search, website experience, CRO, and the organic enrollment funnel. Diagnoses performance across traffic, visibility, conversions, leads, applications, and enrollments; designs measurement approaches; reconciles web, search, CRM, and platform data; defines KPI and reporting requirements; and translates findings into executive recommendations. Partners with analytics and engineering teams to build scalable Databricks-based reporting and improve measurement of organic and AEO initiatives.

Analyzes cybersecurity and operational data to identify trends, anomalies, risks, and performance insights. Develops executive dashboards, scorecards, KPIs, KRIs, automated reports, and reusable analytics frameworks using tools such as SQL, Tableau, and Power BI. Applies AI-enabled analytics to improve reporting efficiency and data interpretation. Partners with security, risk, compliance, technology, and infrastructure teams to translate technical findings into actionable business recommendations.

Build and maintain production-grade dbt data models and pipelines across ingestion, transformation, and visualization. Develop reliable datasets supporting reporting, analysis, finance, revenue recognition, and company decision-making. Collaborate with Finance, Engineering, Sales, Product, and Marketing to understand data needs, improve manual workflows, validate data accuracy, and create scalable solutions using modern data tools.

Build and own analytics for Provider Operations, including funnel, coverage, quality, tiering, retention, forecasting, and rate strategy. Develop dashboards, recurring reports, quality frameworks, and forecasting models that support operational decisions. Partner with Recruiting, Calendar Operations, Product, Engineering, and Data teams to improve tools and instrumentation. Present actionable insights to leadership and drive adoption.

Perform end-to-end analytics to quantify partner value and build ROI narratives from pilot datasets. Support sales and partner success with discovery calls, fraud strategy discussions, presentations, technical support, and thought leadership (white papers). Coach team members, maintain customer relationships, and communicate insights to senior stakeholders to drive adoption.

Analytics interns will analyze datasets, generate actionable insights, develop reports, participate in the full analytics lifecycle, support model building and presentations, and complete ad hoc projects. They may work across credit risk, loan servicing, marketing, supply chain, retail, or automotive analytics. The role requires strong analytical, problem-solving, communication, and reporting skills in a fast-paced, on-site environment.

Design, build, and maintain end-to-end data models and pipelines to support CX operations, compliance reporting, and customer insights. Create dashboards and metrics, enforce data quality and governance, automate recurring workflows, and partner with stakeholders and broader data teams to deliver self-serve analytics solutions.

Lead pricing analytics for merchant/platform deals and international market expansion. Define pricing strategy, run economic analyses, design and test pricing constructs, and collaborate with product, partnerships, credit, finance, capital markets, and engineering to optimize portfolio performance.

Own the Finance and Operations data layer, integrating systems into Snowflake and Omni, building reusable data models, dashboards, governed metrics, validation checks, and reconciliation workflows. Partner with Finance, Operations, and Data teams to translate business processes into trusted analytics, improve data quality, automate reporting, and support leadership decision-making.

Own the architecture and hands-on development of Tala’s shared data and analytics platforms. Build semantic layers, governed business metrics, data models, pipelines, services, tooling, and AI-enabled analytics workflows. Lead cross-functional technical initiatives spanning Product, Engineering, Analytics, Finance, and Accounting; improve governance, reliability, usability, and documentation; resolve architectural bottlenecks; and mentor engineers through technical leadership.

Supports Tier 1 help desk requests, reporting, data validation, documentation, testing, and process improvements. The role assists with automations, maintains Teams knowledge content, and collaborates with senior analysts and developers while learning Power BI, Power Apps, Azure, and ARES capabilities. Responsibilities include identifying workflow inefficiencies, following up on assigned tasks, escalating issues, and supporting the transition from BusinessObjects to ARES.

Own and evolve the analytics platform, including data models, pipelines, metric definitions, semantic layers, dashboards, and self-service data products. Partner with cross-functional stakeholders to translate business needs into reliable technical solutions. Lead data initiatives, improve ELT reliability and governance, resolve quality issues, mentor teammates, and shape the Analytics team’s technical roadmap. The role requires strong SQL, dbt, modern data-stack experience, business communication, and independent execution in an ambiguous environment.

Designs and maintains enterprise data pipelines, warehouses, lakes, semantic models, ETL/ELT processes, and SQL solutions. Supports Power BI datasets and reporting architectures while ensuring data quality, governance, security, and performance. Collaborates with HR stakeholders, analysts, data scientists, and technology teams to translate business requirements into scalable technical solutions. The role also contributes to data architecture, troubleshooting, documentation, and engineering best practices.

Collects, consolidates, cleans, analyzes, and visualizes experimental data from analytical equipment, test rigs, and pilot plants. Performs statistical analysis, anomaly detection, experimental design support, equipment validation, and QA/QC activities. Presents findings to technical leadership, identifies process improvements, and helps extract actionable insights from structured and spectral data.

Owns retention analytics for a new Loyalty & Retention organization, including churn definitions, survival analysis, forecasting, experimentation, acquisition attribution, satisfaction analysis, payment recovery, and save-desk performance. The role builds reporting and predictive models from scratch, partners with BI and actuarial teams, influences cross-functional decisions, and presents retention findings and forecasts to executives.

Leads data analysis, reporting, performance evaluation, and dashboard development for federal transition assistance programs. Manages data integration, modeling, quantitative and qualitative analysis, program evaluations, executive reporting, and performance measurement. Translates complex data into actionable recommendations supporting operational effectiveness, strategic planning, modernization, and continuous improvement. Collaborates with government leaders, program managers, technical teams, and stakeholders. The role is remote with occasional travel for in-person meetings.

Leads enterprise analytical modeling and semantic architecture, establishes standards for testing, documentation, governance, lineage, observability, and access, and develops reusable governed data products. Partners across Product, Engineering, Finance, Clinical, Research, Marketing, and AI teams; guides architecture reviews, data quality ownership, semantic layer design, and governance adoption. Mentors engineers and drives modernization of analytical environments.

Ten-week hybrid summer internship supporting data and analytics initiatives across banking teams. Interns will gather requirements, assemble and explore structured and unstructured data, perform analysis, identify trends, create insights and dashboards, collaborate with business partners, communicate findings, and present a capstone project. Assignments may include advanced analytics, reporting, visualization, data mining, automation, root-cause analysis, cohort analysis, and model development.