Top Data & Analytics Jobs in Houston, TX

Lead design, development, governance, and optimization of operational data marts, dashboards, and reporting. Serve as senior liaison with operational and clinical leaders, establish data quality and monitoring frameworks, ensure data integrity through system changes, and implement data-driven processes to improve performance and outcomes.

Model newly onboarded CLOs and leveraged loan facilities, maintain compliance calculations, and produce trustee reporting. Build and validate reporting dashboards, automate processes, reconcile results, ensure data accuracy, collaborate with IT and stakeholders, and present analytical findings to senior management.

Design, implement, and optimize large-scale data processing on Databricks and Spark. Build ETL pipelines, integrate data across AWS services (Redshift, RDS), orchestrate workflows with Airflow, and ensure data warehousing and engineering best practices. Lead and mentor development teams and collaborate with cross-functional stakeholders to drive data strategy and execution.

Teach undergraduate and graduate business data analytics courses in face-to-face, online, and hybrid formats; design and maintain analytics and quantitative curriculum; conduct scholarly research and publish; advise students; support recruitment, retention, committees, ACBSP accreditation, and community outreach. Seven-course teaching load per academic year; integrate Christian faith into teaching and engage in service to the College and University.

Design and develop full-stack applications and ETL pipelines, manage Snowflake/MySQL/SQL Server, build and maintain APIs, orchestrate workflows (Airflow), support cloud environments, enforce data security, collaborate with analysts, and participate in CI/CD and Git workflows to improve operational efficiency.

This role involves SAP analysis, system configuration, and project management, focusing on Sales and Distribution and Logistics Execution modules. Responsibilities include project planning, QA, and user training.

Lead two to three teams to define and implement customer data strategy and governance. Manage data engineers and analysts to build and maintain data pipelines, warehouses, lakes, dashboards, and analytical models (including GenAI). Ensure data quality, security, and compliance; oversee budget, resource planning, and vendor management. Partner with business and IT stakeholders, drive data engineering and AI best practices, mentor staff, and present insights to technical and non-technical audiences.

Lead visualization-driven reporting by writing code to find, analyze and visualize large datasets. Build interactive news apps using HTML/CSS/JavaScript (d3.js) and component frameworks, collaborate with reporters, train newsroom staff, and innovate newsroom visual storytelling and mapping.

Perform financial due diligence data analytics for middle-market M&A: obtain, validate, normalize, analyze transaction data (revenue, costs, inventory), produce dashboards and visualizations, identify trends/outliers, and communicate insights to deal teams and clients.

Design, build, maintain Power BI reports; gather requirements from business and executives; translate needs into technical specifications; support end-users; analyze data and recommend improvements to productivity and profitability.