Top Senior Analysis Reporting Jobs in Houston, TX

Lead and maintain print communication data processes: design and test ETL and SQL, produce post-production reporting and vendor scorecards, detect and remediate data issues, document processes, mentor junior analysts, and collaborate with business partners and vendors.

Design, implement, and support Informatica-based ETL and integration solutions (Informatica 9.5+). Build traditional and non-traditional integration scenarios, architect complex workflows, support enterprise data warehouse projects, and provide application support. Preferred skills include Informatica Data Quality, B2B Data Exchange, real-time, Web Services, Teradata, and UNIX. Strong communication and analytical skills required; may involve 24x7 support.

Design and deliver AWS Redshift solutions and large-scale migrations from RDBMS to AWS. Lead ETL/reporting implementations, Amazon EMR big-data work, performance tuning, migration planning, data integration testing, and mentor teams. Provide architecture, thought leadership, and manage projects in a consulting environment with travel.

The Senior Data Engineer designs and maintains data pipelines and architectures to support enterprise analytics, ensuring data quality and integration across systems.

The Risk Analyst will evaluate IT activities, conduct feasibility studies, oversee system implementations, support market risk management, and collaborate with various stakeholders to enhance business processes.

The Manager, Actuarial will oversee product development for Businessowner Policy products, manage a small team, and conduct analytical assessments to support profitable growth.

The Business Intelligence Analyst will lead data analysis efforts, create actionable insights, drive business processes optimization, and enhance data literacy within cross-functional teams in the organization.

This role manages MDM/PIM strategies and architectures, ensuring data integration across enterprise systems, governance, and data quality. Responsibilities include overseeing implementation, leading cross-functional teams, and defining data governance frameworks.

Analyze, reconcile, troubleshoot, and monitor incoming and outgoing data to ensure accurate transfer, integration, translation, and reporting. Test and validate data quality, collaborate with senior team members, and liaise with external vendors to resolve issues and confirm data completeness. React to data quality metrics and client inquiries to maintain reliable outputs.

Design and implement scalable cloud-based ETL and analytics solutions using Incorta and Azure. Translate business requirements into architectures, lead data ingestion and integration across ERP and enterprise apps, optimize performance and security, support CI/CD and deployment, mentor teams, and conduct architecture reviews and governance.