Top Analysis Reporting Jobs in Houston, TX

Leads market intelligence research, quantitative and qualitative analysis, forecasting, regulatory monitoring, visualization, and executive-level report writing. Evaluates market trends, competition, economic indicators, and policy developments to produce actionable client insights. Establishes research methodologies and quality standards while mentoring Market Analyst Writers, reviewing deliverables, and managing research priorities. Requires onsite work in Houston five days per week and collaboration with distributed technology teams.

Designs and implements analytical and systems solutions to support CLO operations. Works with stakeholders to automate processes, analyze data, build database-driven reporting, and deliver solutions using SQL, VBA/VBS, and Python. Manages multiple priorities and drives projects from concept through implementation with minimal oversight.

Build and maintain the Air Force Data Mesh Environment through scalable ETL and ELT pipelines, data models, orchestration workflows, APIs, and governed data applications. Develop secure, maintainable software using Python, TypeScript, React, Node.js, SQL, and modern data tools. Collaborate with product, DevOps, security, and mission stakeholders while applying testing, validation, observability, and secure data-handling practices.

Supports communication between IT, business units, and vendors while documenting requirements and administering reporting systems. Creates dynamic Excel reports and manages large datasets, configures systems and workflows, troubleshoots issues, coordinates projects, and leads application and user acceptance testing. The role also develops recommendations, maintains data confidentiality, and identifies technology improvements.

Designs, builds, and maintains scalable Azure data pipelines and ELT frameworks using Databricks, SQL, Python, and PySpark. Implements Azure DevOps CI/CD, monitoring, security, infrastructure automation, and production support. Collaborates with BI teams on Power BI datasets, documents data solutions, participates in Agile delivery, and mentors junior engineers. The role requires strong data modeling, structured and semi-structured data expertise, performance tuning, and data governance awareness.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Manages mixed-methods program evaluations, impact monitoring systems, research initiatives, and quantitative and qualitative data analysis. Develops evaluation frameworks, data collection instruments, reports, presentations, and data products for education partners, funders, and leadership. The role also mentors an evaluation associate, manages external relationships, translates complex findings into actionable insights, and strengthens organizational measurement practices.

Build and operate scalable Python-first ETL and ELT pipelines for genomic and operational data. Integrate LIMS, laboratory instruments, applications, and third-party sources while guiding architecture and engineering standards. Own data quality, lineage, observability, reproducibility, audit readiness, security, and regulatory compliance across hybrid and cloud environments. Work with SQL databases, workflow orchestration, containers, Kubernetes, AWS data services, distributed processing, streaming, bioinformatics workflows, and infrastructure as code.

Develop fundamental supply-and-demand models for global crude oil markets using econometric and statistical methods. Build Python and SQL analytics, visualization tools, data validation frameworks, and automated ingestion pipelines. Analyze market dislocations, disruptions, policy changes, and data releases to formulate probabilistic trade recommendations. Curate and transform proprietary commodity datasets, backtest signals, and present trade ideas to senior traders and portfolio managers.

Supports data governance for acquired-company integration and transformation initiatives. Responsibilities include inventorying structured and unstructured data, documenting ownership, classification, retention, legal holds, privacy, quality, metadata, lineage, and stewardship requirements. The role maintains catalogs and glossaries, supports source-to-target mapping and reconciliation, prepares governance metrics and dashboards, and coordinates with business, technology, legal, privacy, risk, security, and implementation teams to ensure data is trustworthy, compliant, and ready for migration, archival, modernization, and analytics.