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.

Designs dashboards, reports, interactive analytics applications, and web-based data experiences. Translates business questions into intuitive visualizations, identifies trends and anomalies, establishes dashboard standards, and partners with stakeholders and application developers. The role also integrates AI-enabled capabilities, improves existing analytics solutions, and promotes usability, adoption, and data-driven decision-making across the organization.

Lead enterprise data engineering initiatives by building and modernizing pipelines across mainframe, data warehouse, data lake, and cloud environments. Responsibilities include data ingestion, transformation, governance, validation, troubleshooting, legacy process modernization, project ownership, standards development, and mentoring. The role collaborates with actuarial, enterprise analytics, and insurance business teams to deliver reliable data for reporting, analytics, and downstream models.

The Senior Data Analyst leads projects that improve operational performance and client service. Responsibilities include developing business strategies, monitoring operational risk metrics, collecting and presenting performance data, retrieving and optimizing data warehouse queries, mentoring team members in SQL, and communicating findings to operations staff and senior management. The role requires strong analytical, visualization, communication, and project management skills within a financial services environment.

Leads digital analytics for a large-scale website, analyzing customer behavior, marketing channels, search trends, conversion funnels, and digital experiences. Owns GA4 measurement strategy, KPI frameworks, dashboards, reporting, data quality, and analytics prioritization. Translates complex data into recommendations for marketing, product, UX, engineering, SEO, and paid media teams, while delivering executive reporting and promoting experimentation and continuous optimization.

Owns the enterprise Power BI ecosystem, including data modeling, ETL/ELT pipelines, dashboards, reporting, administration, governance, security, and support. Leads BI implementations, platform maintenance, testing, documentation, process improvements, stakeholder training, and adoption of Microsoft Fabric, Databricks, and AI-enabled analytics. Requires strong Power BI and Azure Data Factory expertise, business requirements translation, analytical problem-solving, communication, and potential people leadership. Travel up to 20% domestically and internationally is required.

Owns the enterprise Data Lakehouse platform, including operations, configuration, integrations, monitoring, validation, issue resolution, vendor management, releases, documentation, security controls, and lifecycle planning. Translates business and data requirements into platform solutions, coordinates cross-functional technology teams, and ensures reliable support for business intelligence, reporting, analytics, and AI use cases. Provides technical leadership and guidance without direct personnel-management responsibility.

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.