Top Data & Analytics Jobs in Phoenix, AZ

Owns AML transaction-monitoring models across their lifecycle, including performance monitoring, implementation testing, documentation, revalidation support, issue remediation, and model governance. Analyzes transaction data, model outputs, data quality, thresholds, segmentation, and risk factors using quantitative methods and programming. Partners with technology, data, investigations, Model Risk Management, audit, and leadership to resolve findings and communicate model risks.

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Designs, builds, optimizes, and supports scalable AWS-based data infrastructure, pipelines, data models, and ETL/ELT processes using Python, SQL, PySpark, Databricks, and Spark. The role supports analytics, reporting, and business intelligence through production monitoring, troubleshooting, testing, CI/CD, documentation, and cross-functional collaboration with BI, Product, Engineering, Data, and client-facing teams.

Provide accurate valuations and risk assessments for single-family homes using internal tools and pricing model outputs. Incorporate local market knowledge, collaborate with sales, homes, data science and engineering to improve pricing operations and ensure competitive, consistent offers.

Analyzes complex customer, operational, financial, and survey data to identify trends, drivers, risks, and opportunities. Manages the Voice of Customer program, conducts advanced statistical and quantitative analyses, validates data quality, and translates findings into actionable recommendations. Develops executive reporting, narratives, presentations, and visualizations, presents insights to senior leadership, manages vendor and program administration, and partners cross-functionally to improve customer experience, loyalty, retention, and business performance.

Performs complex analysis of consumer product portfolios, financial models, market data, and trends to improve risk, profitability, forecasting, and operational performance. Communicates insights to senior management, mentors peers, supports large-scale platform and integration projects, and collaborates across Risk, Product, and business teams. The role may also manage associates and drive strategic improvements, reporting, process excellence, and data-informed decision-making.

Leads enterprise data governance execution and manages a team responsible for data stewardship, quality, controls, privacy, records management, and remediation. Partners with business, Technology, Risk, Compliance, Audit, and Operations stakeholders to prioritize work, manage capacity, resolve data risks, maintain lifecycle documentation, monitor quality metrics, and ensure data meets business and regulatory requirements. Drives process improvement, accountability, stakeholder communication, and people development.

Leads underwriting measurement strategy for Property & Casualty insurance by designing analytical frameworks, developing performance metrics, evaluating profitability and member impact, and translating complex data into strategic recommendations. Partners with Finance, Pricing, Underwriting, Marketing, Sales, and leadership teams to influence decisions, optimize processes, identify risks, and improve business outcomes. Provides team leadership, guidance, and training while ensuring compliance with risk policies.

Leads data governance and management activities, including data stewardship, data quality monitoring, risk and incident remediation, data lineage, controls, third-party compliance, and roadmap development. Partners with business, technology, and product teams to implement governance strategies, address data risks, and improve data consistency and usability across the organization.

Reviews annotated sensor and map data for quality, identifies recurring issues, and recommends solutions. The role prepares reports, maintains annotation policies, develops training documentation, performs data annotation, tests internal tools, reports bugs, and creates visual assets. It also collaborates with stakeholders, partners, annotators, project managers, and engineers while supporting on-road operations and evolving program priorities.

Leads enterprise data management strategy, data governance, quality frameworks, master data management, operational oversight, and a team of data analysts. Oversees data integrity, metadata, lineage, controls, incident remediation, vendor coordination, reporting, and domain data product health. Partners with business, product, engineering, and governance stakeholders to improve sales, marketing, and CRM data trustworthiness while managing major initiatives, risks, dependencies, and regulatory requirements.