Top Analysis Reporting Jobs in Houston, TX

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.

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

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.

Design and refine data models and schemas; manage metadata, taxonomies, glossaries, and data lineage; develop data quality rules and remediation plans; support integration analysis and source-to-target designs; prepare data for analytics and AI; and produce architecture, governance, integration, and analytics documentation. The role also supports CRM and workflow systems, cross-functional governance, dashboards, metrics, and enterprise data interoperability for NASA’s external engagement platform.

Supports NASA’s external engagement platform by designing data models and schemas, managing metadata and taxonomies, monitoring data quality, documenting lineage and lifecycle processes, analyzing integrations, and preparing data for analytics and AI. The role also develops governance documentation, supports CRM and workflow systems, and coordinates cross-functional data initiatives. Hybrid work in Houston is preferred, with remote consideration.

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 client-facing data engineering initiatives, designing scalable data pipelines, architectures, models, and schemas. Translate business requirements into technical solutions, optimize data delivery and automation, mentor engineering teams, and support project planning, proposals, estimation, and solution delivery. Work with technologies including Databricks, Spark, Snowflake, Airflow, Kafka, cloud services, SQL, and programming languages such as Python, Scala, Java, and C++. Travel averages 30–50%, with home-office work when not at client sites.

Designs and maintains Tableau dashboards, reports, data models, and visual analytics solutions. Partners with stakeholders to define reporting needs, validates data, troubleshoots quality and performance issues, manages Tableau content governance, documents analytics processes, and supports users. Converts complex data into actionable insights for operational and strategic decision-making while improving reporting efficiency and reliability.

Owns governance, quality, lifecycle management, and continuous improvement of master data within SAP ERP and MDM environments. Partners with business owners, data stewards, IT, and leadership to define standards, manage integrations, support transformation initiatives, ensure regulatory compliance, and resolve data issues. The role analyzes datasets using Excel, SQL, Python, and R, supports SAP S/4HANA solutions, and manages complex cross-functional projects in an in-office Houston environment.

Research and analyze aromatics and fibers chemical markets, including pricing, forecasts, capacity, supply and demand data. Maintain industry and market knowledge, support consulting analyses and economic models, monitor industry news, respond to client inquiries, and contribute to cost studies and client presentations. The role requires collaboration with consultants and direct customer interaction in office and onsite settings.