Top Senior Data & Analytics Jobs in Houston, TX

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

The DataOps Lead is responsible for ensuring the operational reliability and quality of cloud-based data platforms, overseeing data pipelines, monitoring data accuracy, and leading incident response while collaborating with various teams.

The BI Data Analyst will lead data analytic projects, support Power BI usage, manage user permissions, automate data processing, and collaborate with stakeholders to enhance data quality and insights.

As a Senior Financial Planning Strategist, you will provide innovative financial solutions, conduct research, review complex documents, mentor colleagues, and deliver presentations for high-net-worth clients and advisors.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

This role involves designing and implementing data quality monitoring and governance for cyber datasets, collaborating with various stakeholders, and ensuring trusted data through frameworks and automated controls.

The Senior Data Solution Developer will design data solutions and pipelines, collaborate with various stakeholders, ensure data quality, and utilize advanced technologies for energy market data processing.

The Revenue Insights Lead transforms revenue data into actionable insights, drives operational excellence, and measures the impact of enablement programs through analytics and strategic partnerships.

As a Senior Advisor Data & Automation, you'll govern program data, automate workflows, enhance data quality, and collaborate with various teams for optimal data utilization.