Top Senior Data & Analytics Jobs in Houston, TX

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

The Director of Market Risk will manage risk analytics tools, monitor and report metrics, and engage with teams to ensure risk management in electricity and gas markets.

Designs and governs Axiom's enterprise data model, sets data governance and quality standards, manages a Data Engineer, aligns data architecture and AI technology choices with enterprise strategy, administers Databricks, and ensures documented lineage, ownership, and data access for stakeholders.

The DataOps Lead is responsible for ensuring the operational reliability and quality of cloud-based data platforms, overseeing data pipelines, monitoring data accuracy, and leading incident response while collaborating with various teams.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

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, 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.

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.

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.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.