Top Senior Data & Analytics Jobs in Phoenix, AZ

Analyze customer experience and support data using SQL, Python or R, statistical modeling, predictive analytics, machine learning, NLP, and Generative AI. Develop segmentation models, KPI scorecards, and customer satisfaction insights; connect customer metrics to business outcomes and ROI; and communicate recommendations to stakeholders. The role requires 8+ years of analytics experience and supports Reality Labs customer-centric initiatives.

Analyzes and optimizes service and property-turn workflows using SQL, Python, visualization tools, and data-informed methods. Defines metrics, translates business needs into analytical requirements, investigates root causes, evaluates workflow improvements, and partners with business and technical teams on scalable solutions. Presents findings to stakeholders and assesses AI or automation opportunities while considering accuracy, risk, cost, transparency, and human oversight.

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.

Designs trusted Snowflake data products and enterprise semantic models that standardize business concepts, metrics, relationships, and rules. Builds Cortex semantic views and agents, validates AI-generated results, develops regression tests, and maintains metadata, lineage, and documentation. Leads modeling initiatives from discovery through production while partnering with business and technical stakeholders to improve analytics, automation, and AI consistency.

Analyze complex business data to identify trends, risks, and opportunities; build Power BI dashboards, data models, predictive analytics, forecasting tools, and automated reports using SQL and Python. Support inventory optimization, supply-demand balancing, and aftermarket operations while partnering with planning, supply chain, finance, operations, and IT teams. Translate business needs into analytics solutions, present recommendations to stakeholders, and contribute to cross-functional process improvement and business intelligence initiatives.

Own Fullbay’s Snowflake data platform end to end, including dimensional modeling, certified metric definitions, semantic layers, identity resolution, transformations, governance, security, cost management, source ingestion, and AI-agent enablement. Build tested SQL and transformation code, establish company-wide data standards, document systems thoroughly, and direct an architecture consultant. Provide guidance for self-service data use while serving as the final authority on definitions, access, and platform design.

Leads the design and management of scalable cloud database infrastructure across AWS and Azure. Responsibilities include PostgreSQL and SQL Server administration, GraphQL and Hasura API development, cloud migrations, CI/CD automation, infrastructure as code, performance monitoring, security, compliance, data modeling, and mentoring engineers. The role also supports data access layers for AI and application workloads.

Own the design, performance, reliability, security, and operational integrity of a high-volume PostgreSQL data platform on AWS. Responsibilities include schema architecture, zero-downtime migrations, query optimization, transaction correctness, backup and disaster recovery, observability, data security, legacy data migration, and platform modernization. The role partners with engineering and architecture teams, supports incident response and on-call operations, establishes data-tier standards, and mentors engineers.

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.

Designs and maintains scalable batch and streaming data pipelines, data warehouses, cloud data platforms, validation frameworks, and governance processes. Supports analytics through data modeling and Tableau enablement, resolves complex data issues, delivers architecture prototypes, collaborates with business and audit stakeholders, owns projects end to end, and mentors engineers. Requires advanced SQL and Python, AWS, Snowflake or Databricks, orchestration, transformation tooling, regulatory compliance, and extensive data engineering experience.