Top Data & Analytics Jobs in Houston, TX

Design, implement, and maintain MSBI solutions (SSIS/SSRS/SSAS) and Power BI reporting. Lead engineering teams, perform data modeling and technical design, manage stakeholder communications, and deliver projects in a global managed-services environment.

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

Administer and optimize large Teradata data warehouse environments: performance tuning, security, backup/recovery, workload management, monitoring, stored procedures, server configuration, and mentoring other DBAs while leading projects in a 24x7 multi-terabyte, multi-application setting.

Manage and ensure quality, consistency, and integrity of technical and well-log data. Support and document data management processes, develop automated data-loading workflows and tools, archive/distribute/load/dispose technical data, and provide technical guidance as a senior Informatica administrator.

The e-Data Services Analyst provides technical support for eDiscovery, manages data acquisition, processes electronic materials, and assists legal teams using various industry tools and protocols.

The Enterprise Data Architect Consultant will lead the design and implementation of an enterprise-wide data warehouse, ensuring data architecture aligns with business objectives while establishing governance and standards.

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.

Administer and maintain voter databases (Blocks, VAN), verify and track voter registrations and contact attempts, scan and redact forms, produce daily reports, train and support canvassers on quality-control issues, and maintain secure filing systems while complying with state laws.

Hands-on technical owner for enterprise data governance and catalog platform: install, configure, ingest metadata, enable lineage, automate profiling and data quality, integrate with cloud data platforms and BI tools, provide platform support, access control, user enablement, and documentation while partnering with data engineering, security, and governance stakeholders.

Support the development team by conducting market research, evaluating new markets, and analyzing competitive dynamics in renewable energy.