Top Senior Analysis Reporting Jobs in Phoenix, AZ

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.

Supports operations performance management through complex data analysis, KPI and reporting validation, dashboard and scorecard development, project execution, and stakeholder communication. The role uses SQL, Tableau, Python, Alteryx, automation, and approved AI/LLM tools to improve reporting accuracy, data quality, decision-making, and operational outcomes across collections and related banking functions.

Build and operate production data pipelines, models, and data products supporting finance, accounting, treasury, compliance, and regulatory reporting. Partner cross-functionally to define requirements, model on-chain and internal data, and ensure data reliability through reconciliation, quality checks, monitoring, and alerting. Use SQL, Python, cloud data warehouse, Airflow, dbt, and AI tooling. Mentor engineers, review technical work, document systems, and communicate data concepts to technical and non-technical audiences.

Manages research data systems and infrastructure across complex biological research projects. Integrates multi-domain datasets, maintains PostgreSQL databases, connects LIMS and biorepository systems, develops data intake pipelines, performs SQL-based transformations, supports APIs, and implements metadata, validation, auditing, quality assurance, and data-sharing practices. Collaborates with investigators, data scientists, engineers, and external partners to ensure research data remain reliable, secure, accessible, reusable, and compliant with institutional and sponsor requirements.

Designs and operates scalable, resilient data platforms and real-time streaming pipelines for intelligent payment systems. Builds AI-ready architectures supporting machine learning, Generative AI, LLMs, and real-time intelligence. Develops APIs, microservices, and event-driven systems while applying cloud-native engineering, observability, security, governance, and Responsible AI practices. Provides technical leadership, mentors engineers, evaluates emerging technologies, and partners with product, architecture, data science, and engineering teams.

Develop and oversee data processes, reporting controls, and software tools supporting state and federal fleet compliance reporting. Compile and validate tractor and trailer data, coordinate with IT, vendors, and fleet teams, monitor regulatory changes, maintain data retention, provide training, track emissions and incentive data, and support ESG analysis. Requires regulatory reporting or heavy-duty tractor technology experience, strong SQL, Access, or Excel skills, and exceptional organization.

Analyzes, cleanses, transforms, and models data while resolving completeness and quality issues. Reviews Informatica ETL mappings, creates ETL data-mapping documentation, develops complex SQL queries, profiles Teradata data, validates data warehouse mappings, and automates testing with UFT/QTP and Selenium. Tests XML, API, and web-service integrations using SOAP UI and IBM Rational Tester.

Develops Salesforce and business intelligence dashboards, reporting, and ad hoc analyses for sales and commercial excellence. Maintains CRM data quality, validates system enhancements, automates processes, and supports AI-driven tools. Partners with Sales Operations and cross-functional teams on recurring analytics, executive presentations, documentation, testing, and business reviews. Investigates complex data and process issues while supporting analytics-system transitions and operational decision-making.

Owns AirLife’s enterprise Databricks data platform, including architecture, governance, security, cost management, and performance. Leads development of scalable pipelines integrating SAP, Dynamics GP, Salesforce, and other systems into a governed Lakehouse. Establishes data quality, lineage, metadata, and medallion architecture standards while supervising and mentoring the data engineering team. Partners with analytics, AI, supply chain, master data, and FP&A stakeholders to deliver reliable data capabilities.

Stewards assigned financial data domains by monitoring data quality, maintaining metadata and lineage, investigating defects, supporting governance and compliance, and partnering with business, product, engineering, risk, and security teams. Uses SQL and data quality tools to validate data flows, identify anomalies, assess impacts, and coordinate remediation. Maintains business glossaries, critical data elements, ownership documentation, and audit evidence while promoting trusted, consistent use of enterprise data assets.