Top Senior Analysis Reporting Jobs in Houston, TX

Analyze business challenges and opportunities within Global Payment Network. Develop strategic and tactical recommendations, model products and pricing, evaluate credit risk, conduct market and operational analyses, test hypotheses, assess solution feasibility, and support implementation. Collaborate with Product, Business Development, IT, Sales, Operations, Finance, and management to improve quality, volume, service, and profitability.

Leverage advanced analytics, data manipulation, visualization, statistical modeling, predictive analytics, and machine learning to generate client insights and recommendations. Apply Adobe Experience Cloud solutions to support business transformation and strategic decision-making. Build client relationships, manage and inspire teams, navigate complex engagements, uphold professional standards, and deliver quality outcomes while developing technical and consulting expertise.

Lead Solutions Analyst translates complex business requirements into functional solutions for KYC and risk assessment initiatives, performs data analysis and mapping, prepares interface documents, supports UAT onboarding, coordinates with stakeholders, identifies risks, and promotes AI-assisted, reusable analysis practices.

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.

Designs, develops, and maintains enterprise Oracle databases and data processes. Responsibilities include database performance and capacity monitoring, SQL and PL/SQL optimization, schema development, replication, disaster recovery, security controls, performance testing, and migrating on-premises databases to cloud data platforms.

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.

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.

Support commercial performance, revenue management, customer analytics, sales operations, product strategy, and executive decisions. Build financial models, SQL data pipelines, quality controls, BI dashboards, automated workflows, customer health metrics, and product portfolio analyses. Partner cross-functionally with Product, Sales, Finance, Customer Care, Consulting, and leadership teams to deliver actionable insights and improve revenue retention, pricing, and product performance.

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.