Top Data & Analytics Jobs in Tucson, AZ

Lead enterprise data strategy and governance: define strategy, design governance frameworks, partner on scalable cloud and MDM platforms, establish executive governance, and drive change to embed trusted, data-driven decision-making across the organization.

Lead revenue analytics for GTM: own annual operating plan and weekly forecast, build propensity/churn/expansion models, architect the revenue data warehouse and identity resolution, define TAM/ICP, leverage AI to automate insights, and partner cross-functionally to maintain single-source-of-truth revenue metrics.

Client-facing consultant to design, implement, and troubleshoot GTM-based tracking and Meta Pixel/CAPI integrations. Responsible for event taxonomy, data layer review, debugging with GTM Preview/GA4 DebugView/Meta Events Manager, ensuring accurate conversion attribution across Google and Meta, documenting architecture, and delivering scalable measurement governance with minimal developer dependency.

Own and scale Provable's data platform on GCP: build and optimize ingestion pipelines from blockchain indexers, design privacy-aware data models, manage Postgres and BigQuery, develop high-performance data-serving APIs, ensure data quality and observability, and use IaC (Terraform, Helm) and Kubernetes to deploy and cost-optimize environments.

Designs and develops BI solutions by analyzing large datasets, building and optimizing SQL queries, and creating data visualizations (Power BI/Tableau) to inform strategic decisions. Works independently on complex problems, influences departmental strategy, and supports healthcare-focused analytics.

Lead data quality efforts by querying databases, reviewing data and dashboards, investigating data inconsistencies, and partnering with engineering, analytics, finance, and compliance to improve data integrity and regulatory adherence.

Lead end-to-end data conversion projects: analyze, map, transform, and validate large datasets; build and run ETL/ELT processes; resolve data quality issues; coordinate cutovers and go-lives; act as primary technical customer contact; mentor junior staff; and leverage generative AI tools to streamline migrations and improve delivery.

Lead oversight of data management for assigned studies, manage external vendors, review and approve DM documentation, perform secondary UAT of EDC, implement RBQM oversight, and provide cross-functional input on protocols and study deliverables to ensure data quality and regulatory compliance.

The QA DB Integration Engineer will validate data integrations and APIs, ensuring data accuracy and end-to-end quality across business systems through various testing methodologies.

The Sr. Underwriting Ops Associate ensures operational integrity in underwriting processes by validating data, approving quotes, monitoring performance, and partnering across teams to resolve issues.