Top Data & Analytics Jobs in Tucson, AZ

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Designs, deploys, maintains, scales, and supports enterprise database systems, primarily PostgreSQL in Linux environments. Responsibilities include database architecture, tuning, backup and recovery, failover, large-scale data management, ETL, operational support, testing with real data, and developing system features. The role also explores emerging technologies, supports customer facilities, and may contribute to cloud, DevOps, GIS, APIs, dashboards, and web development.

Develop and maintain Goodwill’s business intelligence environment, including dashboards, reports, data integrations, workflows, data quality controls, and automated reporting. Partner with organizational leaders to define metrics, support workforce development and retail analytics, migrate reporting solutions, document data systems, train users, and apply security and privacy standards. The role also evaluates emerging analytics and AI tools and translates business needs into sustainable technical solutions.

Processes, analyzes, and interprets geophysical data, especially electrical resistivity and seismic datasets. Troubleshoots data acquisition equipment, supports survey design and technical report writing, integrates GPS and surveying data, and completes project documentation. The role may include limited fieldwork, requires adherence to OSHA and MSHA safety requirements, and supports project engineers and senior management.

Build instrumentation and batch/streaming ETL/ELT pipelines and REST API integrations to generate audience and trigger data for CRM/marketing automation. Ensure data quality, monitoring, and reliability at scale while collaborating with CRM, campaign, and operations teams.

Build and own production data infrastructure for a healthcare AI platform. Responsibilities include REST API ingestion, Azure Event Hubs streaming into Databricks, Delta Lake medallion pipelines, entity resolution, semantic metrics, data-quality instrumentation, reconciliation, schema-drift handling, and troubleshooting source-to-warehouse discrepancies. The role requires strong Python and SQL skills, independent pipeline ownership, and experience with Databricks, Spark, PySpark, streaming, and healthcare-related data is a plus.

Own the Databricks enterprise data warehouse and BI solution, designing data models, ETL/ELT pipelines, stored procedures, semantic layers, and governed analytics. Lead healthcare data initiatives supporting value-based care metrics such as HCC, HEDIS, Stars, utilization, MLR, and capitation. Serve as BI product owner, manage roadmap and agile delivery, enforce data quality and HIPAA-aligned controls, and lead a small team while remaining hands-on.

Leads quantitative and qualitative market research on international development, AI adoption, institutional demand, funding, procurement, competition, and commercial opportunities. Evaluates AI and data service applications, develops market assessments and strategic recommendations, manages research initiatives, prepares executive presentations, and collaborates with leadership, technical, operational, and business development teams to support market entry and growth.

Analyze mobile app activation, feature adoption, onboarding, engagement, retention, funnels, cohorts, and A/B tests. Build SQL and dbt models, dashboards, and self-service reports using BigQuery and GCP. Partner with product and engineering teams on instrumentation, identify data issues, automate reporting with AI tools, and communicate actionable insights to nontechnical stakeholders.