Top Senior Analysis Reporting Jobs in Houston, TX

Leads pricing and analytics strategy, prioritizes analytical requests, translates ambiguous business questions into recommendations, and delivers executive insights. Owns business strategy, product and pricing analytics, credit risk modeling, marketing insights, and cross-functional execution. May manage analysts, oversee projects, develop business requirements, and partner with Sales, Finance, IT, Operations, and other teams to improve profitability and performance.

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.

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 deliver scalable data and analytics solutions supporting the end-to-end sales lifecycle. Integrate SAP, Salesforce, and other enterprise sources into cloud data lakes, modernize BI platforms, ensure data quality and governance, drive automation and process improvements, and provide technical leadership and mentorship to teams while partnering with business and IT stakeholders.

Manage configuration and engineering data within NASA’s JEDII/Windchill environment. Responsibilities include controlling and releasing drawings, maintaining baselines and revisions, reconciling part and serial data, investigating discrepancies, conducting audits, producing traceability reports, supporting EDCC operations, training users, and developing configuration and data management procedures. The role supports NASA engineering programs and requires strong knowledge of drawing control, PLM workflows, compliance, and technical documentation.

Execute configuration and data management processes in NASA’s JEDII/Windchill environment. Control engineering drawings and facility records, support drawing control operations, reconcile part and serial data, maintain configuration status accounting, investigate documentation discrepancies, produce traceability reports, train users, and develop configuration management procedures and work instructions.

Own and evolve supply chain data products; design scalable data models and architectures; establish governance, quality, metadata, and master data practices; and enable reporting, analytics, machine learning, and AI use cases. Partner with stakeholders, data engineers, data scientists, and product owners to translate business needs into data strategies and AI-ready solutions. Promote data product maturity, self-service analytics, architecture excellence, and business adoption.

Designs and optimizes scalable data pipelines, architectures, models, and schemas for consulting clients. Leads data engineering initiatives, translates business requirements into technical solutions, improves data reliability and automation, mentors engineering teams, and communicates with technical and business stakeholders. Supports project planning, proposals, estimates, and solution delivery across life sciences, consumer products, and retail engagements.

Leads the enterprise communications measurement program, developing KPI frameworks, benchmarks, reporting products, and analytics roadmaps. Translates communications, marketing, digital, media, social, and campaign data into executive insights and strategic recommendations. Manages analytics technologies and vendors, partners with IT on data governance and quality, advances automation and AI capabilities, and trains stakeholders on measurement practices and reporting tools.

Manage and develop subsurface data landscapes for Exploration and Production environments. Oversee well and seismic data receipt, loading, conversion, transfer, quality control, archiving, lifecycle management, and corporate repository maintenance. Partner with Geoscience and Data Management teams to enforce data standards, quality, governance, consistency, and regulatory compliance. Provide expert guidance to stakeholders and support subsurface applications and workflows.