Top Senior Analysis Reporting Jobs in Houston, TX

The SAS Programmer/Analyst will automate processes for recurring analyses, develop reports and dashboards, and build reusable technology components for statistical analysis.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

Design, develop, and maintain data warehousing, ETL, and BI reporting solutions. Build reports and dashboards (Power BI, SSRS, Tableau), ensure data accuracy, gather stakeholder requirements, implement end-to-end BI solutions, and support finance and ERP-related analytics. Maintain cloud/on-prem ETL and Azure data warehouse pipelines.

The Python Data Engineer will enhance data assets, drive requirements for data ingestion and access, and maintain code quality and tools in a dynamic office environment.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

Design, build, and operate Camden's Microsoft Fabric data platform: implement workspaces, lakehouses, pipelines, and semantic models; enforce governance, CI/CD, backup/DR, capacity tuning, monitoring, and integrations to Power BI and AI. Partner with BI, Application Development, and AI teams to deliver trusted datasets, operational integrations, and runbooks.

Lead Houston commercial real estate research by analyzing market and economic data, producing reports and visualizations, presenting insights to clients, supporting business development, and collaborating with local and national JLL research and brokerage teams to inform strategy and thought leadership.

Lead HR analytics and workforce intelligence, build automated dashboards and executive reports, analyze headcount/turnover/retention/ labor costs, develop predictive models, ensure data governance, and partner cross-functionally to support workforce planning and talent decisions.

Design, implement, and maintain enterprise database solutions and Big Data (Hadoop) systems. Lead database architecture, HA/DR, migrations, patching, performance tuning, security, capacity planning, monitoring, and incident recovery. Provide technical leadership, SOP documentation, and support BI/data mining activities. Role requires shift work.

Build and maintain centralized pricing data infrastructure, scalable workflows, and data pipelines; integrate AI capabilities; deliver pricing tools, reporting, and governance to support data-driven pricing and budgeting across the firm.