Top Senior Analytics Jobs in Phoenix, AZ

Leads software engineering teams responsible for modernizing enterprise data and analytics platforms. Oversees data pipelines, platforms, governance, reliability, cloud modernization, and reporting capabilities while building an AI context layer using semantic models, ontologies, knowledge graphs, and governed metadata. Manages strategy, budgets, delivery, risk, compliance, stakeholder partnerships, and talent development across complex initiatives.

Leads the design, modernization, and governance of enterprise data platforms, pipelines, integrations, and analytical reporting solutions. Provides architecture guidance, technical mentorship, and engineering leadership while enabling cloud modernization, data quality, lineage, observability, and cost optimization. Builds semantic data layers and governed data assets supporting Generative AI, LLM, RAG, agentic AI, and enterprise knowledge management. Partners with business and technology teams to deliver secure, compliant, scalable solutions.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Design and maintain analytical data models, transformation frameworks, data-quality checks, semantic definitions, and metric consistency across analytics and customer-facing products. Partner with engineering, product, and analytics teams to document data, improve lineage, and enable trustworthy self-service data usage. The role requires advanced SQL, analytics engineering, dimensional modeling, testing, and collaborative translation of business concepts into precise data definitions.

Leads analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.

Analyze healthcare, financial, and utilization data to identify inefficiencies, support data-driven decisions, build analytical models and dashboards, communicate insights to technical and non-technical stakeholders, and monitor improvement initiatives across the organization.

Leads the creation and scaling of Unitek Learning’s enterprise analytics organization. Defines the operating model, technology stack, analytics roadmap, governance, and reporting capabilities. Oversees campus, competitive, marketplace, and macroeconomic analytics to support forecasting and strategic decisions. Partners with Finance, Operations, and Marketing, while presenting actionable insights to executive leadership and promoting data-driven decision-making and AI adoption.

Leads enterprise marketing analytics, executive reporting, Power BI business intelligence, CRM governance, attribution, forecasting, experimentation, and predictive scoring. Establishes KPI standards, manages analytics intake and cross-functional priorities, oversees marketing technology vendors and integrations, and develops the analytics and marketing systems team. Requires hands-on SQL, Power BI, CRM administration, advanced measurement expertise, executive communication, and regular on-site campus attendance.

Own end-to-end data products, including source onboarding, API and file-feed ingestion, orchestration, incremental and idempotent pipelines, Snowflake and dbt Cloud modeling, testing, documentation, alerting, and production reliability. Establish engineering standards, manage secrets and governance, use AI coding tools responsibly, collaborate with vendors and stakeholders, and mentor junior engineers.

Analyze large datasets to identify opportunities that improve customer experience and profitability. Build and automate reporting, develop quantitative analyses and visualizations, and provide strategic recommendations to senior leaders. The role uses Excel, SQL, Snowflake, R, and Tableau while collaborating across teams, managing multiple project streams, and designing and implementing new products and solutions.

Develop and maintain dashboards, reports, scorecards, KPI solutions, and analytical models that provide business performance insights. Responsibilities include trend and root-cause analysis, forecasting, data validation, stakeholder requirements gathering, reporting automation, process improvement, documentation, and data quality governance. The role partners with cross-functional teams and communicates findings to technical and non-technical audiences.

Own marketing analytics, reporting, dashboards, metric definitions, and customer attributes. Connect Google Analytics, HubSpot, and Salesforce data; support segmentation, campaign measurement, funnel reporting, and data-quality improvements. Partner with Marketing, Data, Revenue Technology, Product, and Engineering to translate business needs into reliable reporting and actionable insights.

Lead revenue analytics by developing business cases, dashboards, KPI frameworks, experiments, and automated analytics solutions. Partner with client success, marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and scale data-driven execution. Serve as the analytics subject matter expert while translating structured and unstructured data into actionable recommendations and compelling stakeholder narratives.

Lead end-to-end analytics for major platform partnerships, identifying growth opportunities and informing product, investment, risk, and pricing decisions. Conduct complex analyses, design experiments, build scalable data models, metrics, dashboards, and AI-assisted workflows, and translate findings into business recommendations. Partner cross-functionally with Product, Engineering, Finance, Revenue, and Strategic Partnerships while mentoring analysts and improving analytical practices.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

Leads the organization’s business intelligence function as a hands-on, single-person analytics department. Designs and maintains Power BI and Domo dashboards, develops SQL and Databricks data solutions, integrates vendor systems through APIs, and automates workflows with Power Automate and SharePoint. Manages data reconciliation, reporting standards, documentation, stakeholder requests, prioritization, and analytical presentations. Ensures reporting accuracy, reliable refreshes, issue resolution, and adoption of self-service analytics.

Own GTM performance analytics, KPI and target setting, reporting, forecasting, compensation planning, and performance reviews across Sales and Post-Sales. Identify anomalies and optimization opportunities involving conversion, churn, productivity, pricing, packaging, segmentation, channel economics, and customer quality. Partner with Finance and GTM leaders to develop recommendations, lead strategic initiatives, and ensure data integrity while translating analysis into actionable business decisions.

Build and maintain SQL-based marketing analytics infrastructure, data models, dashboards, and reporting. Analyze marketing channels, affiliates, conversion funnels, cohorts, revenue, profitability, and partner performance. Translate complex findings into actionable recommendations for budget allocation and optimization. Ensure data quality, governance, documentation, and metric consistency while partnering cross-functionally with Marketing, Sales, Finance, Operations, Product, and Technology. The role is a hands-on individual contributor with potential responsibility for mentoring or managing one analyst.

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.

Own regulatory analytics and reporting by building audit-ready datasets, dashboards, data models, pipelines, governance controls, and compliance automations. Analyze complex financial and compliance data, support audits and risk assessments, monitor data quality, and translate regulatory requirements into reliable reporting solutions using Python, SQL, dbt, and Airflow. Partner with engineering, analysts, compliance teams, and leadership to deliver actionable insights and improve regulatory processes.

Develops and maintains advanced dashboards and reporting solutions, analyzes complex datasets, identifies trends and anomalies, and delivers actionable recommendations to stakeholders and senior management. Translates business questions into analytical tasks, ensures data accuracy through validation and quality checks, supports data governance, automates reporting processes, and collaborates with IT to improve data infrastructure and accessibility.