Top Data & Analytics Jobs in Houston, TX

Leads pricing and analytics strategy, prioritizes analytical requests, translates ambiguous business questions into recommendations, and delivers executive insights. Owns business strategy, product and pricing analytics, credit risk modeling, marketing insights, and cross-functional execution. May manage analysts, oversee projects, develop business requirements, and partner with Sales, Finance, IT, Operations, and other teams to improve profitability and performance.

Collects, processes, vets, and analyzes geospatial and statistical data using Esri tools, Power BI, Python, or R. Supports research projects, client meetings, reports, presentations, dashboards, technical assistance, and proposal development. Works on focused project tasks under supervision while communicating findings clearly and maintaining project information and spending records. The role is hybrid in Houston and includes travel to client sites.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

Leads development of secure, scalable data platforms for KYC and risk assessment. Designs and delivers enterprise data applications, frameworks, APIs, and processing systems; mentors engineers; drives AI-assisted development practices; and ensures secure, reliable, and compliant engineering workflows. The role uses cloud-native technologies, large-scale data processing, databases, observability, orchestration, modern data platforms, and emerging LLM infrastructure while communicating with senior leaders.

Leads data analysis and advanced analytics workstreams for clients, using statistical modeling, machine learning, data visualization, and Adobe Experience Cloud technologies to improve operations and strategic decision-making. Manages project planning, budgeting, execution, and completion while mentoring teams, maintaining data integrity and security, building Tableau and Power BI dashboards, identifying business opportunities, and integrating innovative analytics practices.

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.

Identifies, researches, and analyzes donor prospects for cultivation and solicitation. Partners with development officers on prospect strategy, prepares donor profiles and ratings, manages prospect pipelines, and maintains CRM records. Produces mailing, appeal, event, and fundraising reports; fulfills ad hoc data requests; performs data imports and updates; and supports fundraising and stewardship activities while maintaining donor confidentiality.

Lead enterprise data engineering initiatives by building and modernizing pipelines across mainframe, data warehouse, data lake, and cloud environments. Responsibilities include data ingestion, transformation, governance, validation, troubleshooting, legacy process modernization, project ownership, standards development, and mentoring. The role collaborates with actuarial, enterprise analytics, and insurance business teams to deliver reliable data for reporting, analytics, and downstream models.

Develop and enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI tools. Modernize manual and legacy reporting workflows into automated dashboards and scalable analytical solutions. Translate queries and business rules across data platforms, validate reporting accuracy, investigate discrepancies, document workflows, and partner with commercial and senior stakeholders to deliver actionable insights.

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.