Top Analysis Reporting Jobs in Houston, TX

Lead enterprise data architecture strategy and modernization across Microsoft Fabric, Azure, OneLake, lakehouses, warehouses, and integration platforms. Establish standards for modeling, ETL/ELT, governance, security, metadata, lineage, and data quality. Define AI-ready architecture patterns, lead architecture reviews, mentor engineers, and create reusable reference architectures. Drive migration from legacy platforms to Microsoft Fabric while promoting specification-driven development and scalable analytics, reporting, operational intelligence, and AI capabilities.

Leads global master data quality and governance, manages onshore and offshore teams, and develops data quality standards, playbooks, dashboards, validation rules, and automated monitoring. Collaborates with business, IT, finance, sales, operations, and customer service stakeholders to resolve root causes, improve data integrity, support reporting, and maintain master data across enterprise systems. Serves as the organization’s data quality subject matter expert.

Own GTM analytics across Sales, Marketing, RevOps, Finance, and Customer Support. Build trusted data and reporting systems, define metrics, develop AI-powered self-service tools, identify business risks and opportunities, and translate complex pipeline and revenue analyses into executive-ready recommendations. Partner with data engineering to maintain data integrity and instrumentation while guiding decisions on investment, headcount, and strategy.

Designs and develops cloud data architectures, ingestion frameworks, data models, and analytical platforms. Advises clients on cloud migration, data warehousing, technical approaches, and implementation roadmaps. Collaborates with stakeholders through requirements gathering, workshops, whiteboarding, and project meetings while deploying end-to-end cloud analytics solutions. Requires experience with cloud platforms, big data technologies, BI tools, data warehousing methodologies, programming, SQL, version control, and Agile/DevOps practices.

Build and maintain BI reports, dashboards, visualizations, audience segments, and analytics solutions for convenience retail, petroleum, and mobile payment customers. Translate customer needs into requirements, prepare and validate data using SQL, support CRM campaigns, analyze program performance, troubleshoot data issues, and optimize BI solutions on Azure. Collaborate with marketing, CRM, technical teams, project managers, and customers while documenting and testing delivered solutions.

Analyzes workforce program data and performance metrics, produces dashboards and reports, monitors WIOA outcomes and WorkInTexas data quality, identifies performance gaps, supports corrective actions, trains staff on data procedures, and assists leadership with audits, monitoring visits, and compliance reporting.

Maintains departmental facilities, equipment, drawings, and resource databases; updates specifications, costs, standards, and records; creates reports; administers a linked external website and user access; resolves user questions; coordinates work processes; and communicates with internal teams, project managers, equipment planners, and external vendors.

Designs and maintains enterprise data models, metadata, taxonomies, governance standards, quality rules, lineage documentation, and integration mappings for NASA’s external engagement platform. Supports CRM workflows, analytics-ready data, dashboards, AI data preparation, and cross-agency interoperability. The role also translates business needs into technical data solutions and coordinates documentation and stewardship across teams.

Build and operate production data pipelines and warehouse models for a global energy trading platform. Develop Python pipelines orchestrated with Prefect, create tested Snowflake models with dbt, migrate legacy Oracle systems, integrate diverse data technologies, and implement quality, freshness, monitoring, and alerting controls. The role also supports AI-ready data, AWS services, platform documentation, and direct collaboration with analysts and desk users.

Supports commodities trading through BI dashboards, reporting, data pipelines, forecasting models, and analysis of pricing, P&L, volumes, and market exposure. The role troubleshoots data quality issues, translates stakeholder needs into analytical solutions, automates reporting workflows, supports market data migrations, prepares management presentations, and mentors junior analysts. Work includes Power BI and Spotfire development, SQL-based data analysis, and collaboration with IT Data Engineering.