Top Data & Analytics Jobs in Tucson, AZ

Design and maintain scalable dbt data models and Looker dashboards; partner with Finance, Product, and GTM to translate requirements into analytics solutions; ensure data quality with Data Engineering; perform analyses, forecasting, and QA to deliver trusted reporting and drive analytics initiatives.

Perform Ukrainian- and English-language open-source research and document review to assess KYC, sanctions, AML, and supply chain risks. Use Exiger's DDIQ and shipping databases to identify risk-relevant information, produce client-ready narratives, onboard and train users, and advise on tool usage. Support U.S. government clients with timely, accurate due diligence and risk assessments.

Build and maintain dbt data models, design BI dashboards and reports (Count and other tools), and deliver merchant/issuer analytics. Partner with GTM and product teams to translate data into actionable insights, improve data quality, and lead technical investigations to scale analytics infrastructure.

Lead full-stack analytics at Air by designing and maintaining dbt models and BigQuery transformation layer, ensuring data quality and observability, owning ingestion/orchestration, building self-serve BI (Mode/Hex) and AI-native interfaces, and partnering with product, growth, and GTM teams to deliver trusted data products and strategic insights.

Design, build, and maintain dbt data models and scalable ELT pipelines; optimize performance-aware SQL on Snowflake; ensure observability, testing, and CI/CD; partner with product and engineering teams to meet analytic needs, mentor engineers, document business logic, and troubleshoot ingestion, transformation, and warehouse issues.

The Snowflake Data Consultant will transform legacy Oracle BI and ODI data models into Snowflake, analyze data flows, and ensure performance optimization.

The Insurance Product Analyst II supports state management for auto insurance products by conducting research, analyses, and executing product launches. Responsibilities include regulatory compliance, data analysis, and communication across teams.

Lead client-facing Data & Analytics engagements across pre-sales, architecture, and delivery. Define strategy, roadmaps, solution designs, and SOWs for modern data platforms, pipelines, governance, analytics, and AI enablement. Drive practice development, create reusable IP, mentor teams, and ensure quality delivery and strong business outcomes.

Design, build, and operate scalable data platform services and ETL/ELT pipelines that transform billions of events into trusted, low-latency data products. Own data quality, observability, SLAs, incident response, and platform tooling, drive architectural decisions, and mentor engineers to enable self-serve analytics and product capabilities across the organization.

The Senior Director of Data Platform leads LINQ's Business Systems and Data Engineering functions, overseeing strategy, team development, and ensuring data governance while delivering scalable solutions aligned with business needs.