Top Data & Analytics Jobs in Houston, TX

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.

Analyzes complex data to support business strategies, develops self-service data solutions, dashboards, metrics, and visualization tools, and manages data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, data management, Snowflake development, business intelligence, and collaboration with technology and business teams.

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.

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.

Supports Microsoft SQL Server databases, T-SQL queries, integrations, and related application systems. Provides secondary support for Aderant financial applications, including troubleshooting, configuration, testing, scheduled jobs, documentation, upgrades, and release validation. Collaborates with IT, Accounting, vendors, and project teams while escalating complex issues to senior staff. The hybrid role requires strong troubleshooting, documentation, communication, and adherence to security and change-control procedures.

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.