Top Data & Analytics Jobs in Tucson, AZ

Design and optimize enterprise data architectures and pipelines using SQL, Spark/PySpark, Python, Apache Iceberg, AWS, ClickHouse, and PostgreSQL. Build greenfield application and data solutions, optimize databases and Spark jobs, integrate data virtualization and governance tools, and support CI/CD and infrastructure-as-code practices. Experience with financial services workloads is valued, while telecommunications knowledge is preferred but not required.

Analyzes, validates, and maintains Army MEDCOM facilities and real property data; supports dashboards, reporting, data integration, quality assurance, process improvement, documentation, training, and stakeholder deliverables. The role identifies data discrepancies, develops recommendations, provides technical support, and assists with Medical Readiness and Facility Investment Plan requirements. Periodic travel to project sites, meetings, training, and data collection locations may be required.

The description combines recruitment management, event planning, business development consulting, and iOS application development. Responsibilities include developing recruitment strategies, training recruiters, maintaining candidate databases, coordinating events, managing vendors and client relationships, developing sales pipelines, and designing, testing, updating, and maintaining iOS applications.

The description is inconsistent with the title and primarily covers recruitment management, event planning, business development, and iOS application development. Responsibilities include developing recruitment strategies, managing recruiters and candidate databases, coordinating events and vendors, creating business development plans, managing client relationships, and designing, testing, and maintaining iOS applications.

Own and operate the analytics platform: design and deploy the semantic/metrics layer, administer the data catalog and self-service BI tooling, optimize Amazon Redshift performance, ensure platform reliability/observability, manage security and access policies, and lead tool migrations and vendor evaluations to enable self-service analytics at scale.

Designs and develops complex cloud-native data solutions, scalable batch and real-time pipelines, APIs, data models, and enterprise data platforms. Implements data governance, quality, lineage, security, observability, CI/CD, automated testing, and operational reporting capabilities. Collaborates with architects, product owners, analysts, governance, security, and platform teams on technology strategy and cloud modernization. Mentors engineers, leads technical design discussions, presents recommendations, and supports AI-ready data products and emerging development tools.

Analyzes logistics performance metrics, develops dashboards and reports, identifies trends and bottlenecks, and provides actionable insights to improve delivery performance and operational efficiency across the supply chain.

Designs, develops, and maintains scalable distributed data pipelines and ETL workflows. Ensures data quality, integrity, security, privacy, and availability; optimizes data processing performance; monitors production systems; diagnoses root causes; documents architectures and procedures; and provides rotational on-call support for critical data systems.

Leads advanced analytics, business intelligence, reporting automation, dashboards, forecasting, data governance, and performance insights. Partners with executives, clients, data engineering teams, and stakeholders to translate complex data into strategic recommendations, improve business performance, and support decision-making. Oversees analytical projects, reporting standardization, data quality, technology improvements, and analyst mentoring.

Analyze market, industry, competitor, and customer intelligence for Vistex’s served industries. Assess market opportunities, monitor competitors, identify trends, develop competitor profiles, and translate complex information into actionable insights. Findings support go-to-market strategies, product roadmaps, marketing direction, competitive positioning, pipeline development, and revenue growth. The role collaborates with industry, sales, marketing, product, and pre-sales stakeholders while managing multiple projects.

Designs and maintains scalable cloud data architectures, pipelines, ETL processes, data warehouses, databases, and data models. Ensures data quality, accuracy, security, availability, and consistency across sources. Develops SQL queries for analytics and reporting, and documents pipelines, schemas, architectures, and models. The role requires expertise with Python, Java, Scala, R, SQL, relational and NoSQL databases, cloud platforms, and Snowflake.

Leads data discovery, profiling, quality assessment, and Source-to-Target Mapping for wealth management data platforms. Analyzes complex financial datasets using advanced SQL, documents business rules and transformations, translates requirements for ETL and data engineering teams, supports data governance and testing, and communicates findings to technical and business stakeholders.