Top Senior Analysis Reporting Jobs in Houston, TX

Provides analytics-driven advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, visualizations, and machine learning solutions. Integrates multiple data sources, validates data integrity and security, communicates findings to clients, and mentors junior team members.

Leads business operations analytics, including strategic reporting, reporting-tool development, data integrity audits, operational trend analysis, and consolidation of data sources. Integrates budget and performance data to support financial planning and strategic decisions, streamlines business processes, evaluates system performance, and mentors analytical teams. Requires independent judgment and availability for nights, weekends, and variable schedules.

Manage data analysis for transaction monitoring, risk identification, and compliance. Analyze high-volume transaction data using SQL, Python, Splunk, and visualization tools; conduct root-cause investigations; design risk data architectures; identify process and reporting improvements; advise business and product teams; and translate technical findings into executive recommendations. The role also involves stakeholder liaison, regulatory alignment, data integrity, and managing concurrent analytical projects.

The Sr Manager of Payor Performance Analytics drives financial, analytical, and operational components of payer contracting, overseeing reimbursement modeling and ensuring successful contract negotiations and implementation.

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.

Design and maintain scalable ETL/ELT pipelines, data integrations, APIs, databases, warehouses, and workflow orchestration. Improve data quality, security, governance, reporting accessibility, and infrastructure reliability across a multi-location organization. Collaborate with analysts, technology teams, and business leaders, troubleshoot complex data issues, support CI/CD deployments, and provide technical leadership and mentorship while shaping long-term data strategy.

Performs GIS analysis, digitization, data management, map creation, database updates, and quality auditing for pipeline and right-of-way infrastructure projects. Collaborates with engineers and project leaders, supports field technicians using GIS software and GPS hardware, resolves data discrepancies, documents processes, and trains stakeholders. Requires experience with Esri GIS tools, relational databases, pipeline data models, Python, geodatabase design, LiDAR, and photogrammetry.

Analyzes complex global business data, develops sales, demand, and production forecasts, and delivers executive reports, dashboards, KPIs, and actionable recommendations. The role improves data quality, forecasting accuracy, reporting processes, and business intelligence solutions while partnering with commercial, operations, supply chain, and finance teams to support strategic decision-making and operational performance.

Build and maintain Azure-based data platforms, Lakehouse and medallion architectures, and ELT/ETL workflows using Databricks and related technologies. Integrate ERP and enterprise source systems, configure Unity Catalog and access controls, monitor pipelines, troubleshoot production incidents, and support modernization initiatives. The role also requires technical documentation, knowledge sharing, Power BI experience, Agile participation, and collaboration with business stakeholders.

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.