Top Senior Data & Analytics Jobs in Houston, TX

Execute configuration and data management processes in NASA’s JEDII/Windchill environment. Control engineering drawings and facility records, support drawing control operations, reconcile part and serial data, maintain configuration status accounting, investigate documentation discrepancies, produce traceability reports, train users, and develop configuration management procedures and work instructions.

Develop and manage enterprise data pipelines and dbt transformations in Snowflake, from source ingestion through data marts. Responsibilities include data integration, modeling, testing, observability, security, performance tuning, troubleshooting, documentation, metadata management, and architecture. The role collaborates with technical and business stakeholders to deliver reliable, governed, high-quality data products and continuously improve the data platform.

Manage and maintain hybrid on-premises and cloud data platforms, including Denodo, SQL Server, Snowflake, and Databricks. Responsibilities include system administration, performance tuning, access control, cost monitoring, orchestration support, CI/CD maintenance, troubleshooting, security guardrails, documentation, and platform reliability. The role supports data engineers by providing stable, secure, and highly available environments.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Develop and maintain Power BI dashboards, reports, data models, calculated measures, and row-level security. Analyze data with SQL, validate reporting accuracy, document business rules, and support EDW integration and AI-assisted analytics. Gather requirements from Finance and division leaders, deliver solutions through go-live, train users, communicate insights, and guide junior analysts.

Designs dashboards, reports, interactive analytics applications, and web-based data experiences. Translates business questions into intuitive visualizations, identifies trends and anomalies, establishes dashboard standards, and partners with stakeholders and application developers. The role also integrates AI-enabled capabilities, improves existing analytics solutions, and promotes usability, adoption, and data-driven decision-making across the organization.

The Senior Data Analyst leads projects that improve operational performance and client service. Responsibilities include developing business strategies, monitoring operational risk metrics, collecting and presenting performance data, retrieving and optimizing data warehouse queries, mentoring team members in SQL, and communicating findings to operations staff and senior management. The role requires strong analytical, visualization, communication, and project management skills within a financial services environment.

Leads digital analytics for a large-scale website, analyzing customer behavior, marketing channels, search trends, conversion funnels, and digital experiences. Owns GA4 measurement strategy, KPI frameworks, dashboards, reporting, data quality, and analytics prioritization. Translates complex data into recommendations for marketing, product, UX, engineering, SEO, and paid media teams, while delivering executive reporting and promoting experimentation and continuous optimization.

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.

Owns the enterprise Data Lakehouse platform, including operations, configuration, integrations, monitoring, validation, issue resolution, vendor management, releases, documentation, security controls, and lifecycle planning. Translates business and data requirements into platform solutions, coordinates cross-functional technology teams, and ensures reliable support for business intelligence, reporting, analytics, and AI use cases. Provides technical leadership and guidance without direct personnel-management responsibility.