Top Senior Data & Analytics Jobs in Houston, TX

Designs and implements enterprise database architecture, relational databases, data warehouses, data models, archiving strategies, and migration solutions. Develops database security, backup, and recovery specifications; provides MIS and database operational support; codes utilities; resolves user issues; and supports legacy-system migrations. The role also requires collaboration, technical training, and expertise in Oracle, ETL, PL/SQL, and dimensional data modeling.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.

The role involves collaborating with business users on analytics, processing data, and applying statistical methods to analyze large datasets and present insights.

Lead market intelligence, maintain supply/demand databases and cost models, build dashboards and analytics, consolidate global trade data, produce executive insights, and support strategic planning across finance, operations, and marketing.

Lead liaison between business and technology for Data Services, translating strategic objectives into data, analytics, and reporting initiatives. Drive requirements gathering, solution design, prioritization, testing, delivery coordination, and adoption while partnering with Data Engineers, Architects, Governance, and Finance/HR stakeholders to ensure measurable business value.

Build and lead marketing analytics capabilities, including executive Power BI dashboards, KPI frameworks, funnel and customer analysis, attribution models, CRM and lead lifecycle reporting, and multi-channel performance measurement. Analyze acquisition, conversion, CAC, LTV, retention, and marketing ROI, then translate findings into recommendations that guide marketing strategy and investment. Partner closely with Marketing leadership and establish scalable analytics processes from the ground up.

The Power BI Architect will lead BI platform design and governance, ensuring scalable solutions and guiding BI Engineers, while collaborating with Azure teams.

Leads the reliability, quality, scalability, and operational support of cloud-based data platforms and pipelines on GCP. Responsibilities include managing batch and streaming workloads, SLAs and SLOs, data quality monitoring, incident response, recovery processes, infrastructure as code, automation, orchestration, CI/CD, governance, and runbooks. The role provides technical leadership, mentors engineers, and collaborates with data engineering, SRE, platform, analytics, and business teams.

Lead customer analytics engagements for Communications, Media & Technology clients: define strategy, develop thought leadership, deliver large-scale projects, and apply CRM modeling, reporting, and predictive analytics.

Owns the enterprise Power BI ecosystem, including data modeling, ETL/ELT pipelines, dashboards, reporting, administration, governance, security, and support. Leads BI implementations, platform maintenance, testing, documentation, process improvements, stakeholder training, and adoption of Microsoft Fabric, Databricks, and AI-enabled analytics. Requires strong Power BI and Azure Data Factory expertise, business requirements translation, analytical problem-solving, communication, and potential people leadership. Travel up to 20% domestically and internationally is required.